Handle Ollama models that return content in thinking field by Br1an67 · Pull Request #998 · datalab-to/marker

Br1an67 · 2026-03-01T16:05:55Z

Summary

Fix Ollama inference failure (Expecting value: line 1 column 1 (char 0)) when models like qwen3-vl return the generated content in the thinking field instead of the response field.

Some Ollama models with thinking mode enabled (e.g., qwen3-vl) place the actual output in the thinking field while leaving response empty. The current code only reads from response, causing json.loads("") to fail.

Closes #992

Changes

Added a fallback in OllamaService.__call__() to read from the thinking field when response is empty

pj-connect · 2026-05-09T10:17:31Z

I have introduced your fix into ollama.py. Unfortunately, marker_single (latest) still fails, but this time, at LLMSectionHeaderProcessor, when using ollama version 0.23.0.

The call

marker_single --disable_image_extraction --paginate_output \
    --output_format markdown \
    --output_dir "$(pwd)" \
    --use_llm  \
    --llm_service "marker.services.ollama.OllamaService" \
    --OllamaService_ollama_model "qwen3-vl:latest" \
    --OllamaService_ollama_base_url "http://0.0.0.0:11434" \
    "${1}"

The Output :

Recognizing Layout: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:45<00:00, 22.59s/it]
Running OCR Error Detection: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.79it/s]
Detecting bboxes: 0it [00:00, ?it/s]
Detecting bboxes: 0it [00:00, ?it/s]
LLM processors running:   0%|                                                                                                                                                                                                                                                                             | 0/3 [00:00<?, ?it/s]

LLM processors running:  33%|██████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                                                             | 1/3 [02:35<05:10, 155.36s/it]
LLM processors running: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [03:45<00:00, 75.23s/it]
Running LLMSectionHeaderProcessor:   0%|                                                                                                                                                                                                                                                                  | 0/1 [00:00<?, ?it/s]
2026-05-09 06:09:15,784 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-09 06:09:15,785 [WARNING] marker: LLM did not return a valid response
Running LLMSectionHeaderProcessor: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  7.45it/s]

tjmchenry · 2026-05-16T09:07:23Z

This worked for me, to fix the LLMSectionHeaderProcessor step as well it seems the cause is a missing $defs in the schema that is referenced and ollama can't find (because it's not there). Adding this if statement at line 45 fixed it:

schema = response_schema.model_json_schema()
format_schema = {
    "type": "object",
    "properties": schema["properties"],
    "required": schema["required"],
}
if "$defs" in schema:
    format_schema["$defs"] = schema["$defs"]

I also needed a 128k context window for my pdfs and the pagerange i was testing (10 pages).

pj-connect · 2026-05-22T13:05:19Z

Introduced the fix. Same call as before. I change the LLM from qwen3-vl to gemma4:e4b, and it seemed to work without errors. But still, with qwen3-vl, the following results occurred.

[GIN] 2026/05/21 - 21:49:34 | 500 |  267.268255ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:49:34.278-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57702: height:28 or width:36 must be larger than factor:32\ngoroutine 5129 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc00433efb0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc001cbc200?, 0x24)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8180}, {0x59427d1db410, 0xc001cbc200})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8180}, {0xc0001de1e0, 0x1d2, 0x1d4})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000263200, 0x5ae}, {0xc00014e680, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000263200, 0x5ae}, {0xc00014e680, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000540?}, 0xc000e01b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc001cbe000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:49:34.278-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:49:34 | 500 |  361.344205ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:49:34.407-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57718: height:30 or width:239 must be larger than factor:32\ngoroutine 5133 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc006d07ee0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0f00?, 0xef)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc000374380}, {0x59427d1db410, 0xc0001e0f00})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc000374380}, {0xc0014ac000, 0xc18, 0xc18})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0014a4c00, 0x5ae}, {0xc000faa140, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0014a4c00, 0x5ae}, {0xc000faa140, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188380}, 0xc0001543c0)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188380?}, 0xc00073bb60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188380}, 0xc0001543c0)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188380?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc001cbe240, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:49:34.407-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:49:34 | 500 |  489.219165ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:49:34.516-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57720: height:23 or width:317 must be larger than factor:32\ngoroutine 5089 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc003e87a40?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc001cbc180?, 0x13d)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc000374080}, {0x59427d1db410, 0xc001cbc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc000374080}, {0xc00437c000, 0xc3a, 0xc3c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc004376600, 0x5ae}, {0xc00014e800, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc004376600, 0x5ae}, {0xc00014e800, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0000007e0}, 0xc0003b28c0)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0000007e0?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0000007e0}, 0xc0003b28c0)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0000007e0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc004390000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:49:34.516-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:49:34 | 500 |  325.237461ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:49:34.622-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57722: height:16 or width:189 must be larger than factor:32\ngoroutine 5155 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc00196b150?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc001cbc180?, 0xbd)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab80c0}, {0x59427d1db410, 0xc001cbc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab80c0}, {0xc00024c580, 0x51c, 0x51c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc004377200, 0x5ae}, {0xc000faa020, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc004377200, 0x5ae}, {0xc000faa020, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000540?}, 0xc003f07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc001cbe000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:49:34.622-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:49:34 | 500 |  338.965766ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:49:34.722-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57732: height:19 or width:232 must be larger than factor:32\ngoroutine 5157 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc00177b160?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c00?, 0xe8)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc000374080}, {0x59427d1db410, 0xc0001e0c00})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc000374080}, {0xc0001fa700, 0x67c, 0x67e})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc004376c00, 0x5ae}, {0xc00027e820, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc004376c00, 0x5ae}, {0xc00027e820, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc00199c000}, 0xc00026a000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc00199c000?}, 0xc000e01b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc00199c000}, 0xc00026a000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc00199c000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:49:34.722-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:49:34 | 500 |  310.242424ms |       127.0.0.1 | POST     "/api/generate"
[GIN] 2026/05/21 - 21:54:22 | 200 |         4m47s |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.367-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:57746: height:23 or width:333 must be larger than factor:32\ngoroutine 5093 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc003b800f0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c00?, 0x14d)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64040}, {0x59427d1db410, 0xc0001e0c00})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64040}, {0xc000123200, 0x592, 0x594})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000122c00, 0x5ae}, {0xc00014e660, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000122c00, 0x5ae}, {0xc00014e660, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000356000}, 0xc0003b2000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000356000?}, 0xc003edbb60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000356000}, 0xc0003b2000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000356000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0510, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.368-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |         4m47s |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.497-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43666: height:31 or width:170 must be larger than factor:32\ngoroutine 6672 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0031840f0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc001cbc180?, 0xaa)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64200}, {0x59427d1db410, 0xc001cbc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64200}, {0xc0001fa700, 0x616, 0x618})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0040ec600, 0x5ae}, {0xc00014e6a0, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0040ec600, 0x5ae}, {0xc00014e6a0, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0003561c0}, 0xc0003b2780)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0003561c0?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0003561c0}, 0xc0003b2780)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0003561c0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc000181dd0, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.498-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |         4m47s |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.620-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43670: height:27 or width:132 must be larger than factor:32\ngoroutine 6673 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002f67f60?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c80?, 0x84)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64000}, {0x59427d1db410, 0xc0001e0c80})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64000}, {0xc00024cb00, 0x54c, 0x54c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0040ed200, 0x5ae}, {0xc00014e7c0, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0040ed200, 0x5ae}, {0xc00014e7c0, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188540}, 0xc00026a640)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188540?}, 0xc003195b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188540}, 0xc00026a640)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.620-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |   370.93878ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.740-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43676: height:25 or width:120 must be larger than factor:32\ngoroutine 6436 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc004c880f0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc180?, 0x78)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64200}, {0x59427d1db410, 0xc0004cc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64200}, {0xc002fae000, 0x4aa, 0x4aa})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0040ecc00, 0x5ae}, {0xc00014e780, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0040ecc00, 0x5ae}, {0xc00014e780, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188460}, 0xc00026a3c0)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188460?}, 0xc003191b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188460}, 0xc00026a3c0)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188460?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc004b84000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.740-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |  366.237591ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.868-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43682: height:24 or width:107 must be larger than factor:32\ngoroutine 6680 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc000114ac0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc004eb2180?, 0x6b)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8100}, {0x59427d1db410, 0xc004eb2180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8100}, {0xc000638900, 0x44e, 0x450})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0040ed200, 0x5ae}, {0xc003b1e1c0, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0040ed200, 0x5ae}, {0xc003b1e1c0, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188620}, 0xc00026a8c0)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188620?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188620}, 0xc00026a8c0)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188620?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.868-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |  365.195416ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:22.957-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43688: height:25 or width:148 must be larger than factor:32\ngoroutine 6697 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc003436b80?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c80?, 0x94)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e000}, {0x59427d1db410, 0xc0001e0c80})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e000}, {0xc0001fa700, 0x694, 0x696})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc0040ecc00, 0x5ae}, {0xc003b1e000, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc0040ecc00, 0x5ae}, {0xc003b1e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000000}, 0xc00026a000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000000?}, 0xc003193b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000000}, 0xc00026a000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc000181dd0, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:22.958-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:22 | 500 |  332.120545ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.061-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43704: height:21 or width:248 must be larger than factor:32\ngoroutine 6700 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002799ef0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc004eb2100?, 0xf8)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e040}, {0x59427d1db410, 0xc004eb2100})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e040}, {0xc000dc2000, 0x746, 0x747})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c220, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c220, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188460}, 0xc0003b2280)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188460?}, 0xc003191b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188460}, 0xc0003b2280)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188460?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc004b84090, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.061-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  315.556237ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.173-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43712: height:23 or width:207 must be larger than factor:32\ngoroutine 6681 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002a6cb20?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc180?, 0xcf)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e000}, {0x59427d1db410, 0xc0004cc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e000}, {0xc000dab800, 0x5a6, 0x5a6})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c040, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c040, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc003450000}, 0xc00026a140)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc003450000?}, 0xc000e01b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc003450000}, 0xc00026a140)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc003450000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.173-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  300.635878ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.258-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43714: height:24 or width:166 must be larger than factor:32\ngoroutine 5323 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc00295f350?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc100?, 0xa6)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e040}, {0x59427d1db410, 0xc0004cc100})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e040}, {0xc000b3c000, 0x3d0, 0x3d2})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c1e0, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c1e0, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188460}, 0xc00026a640)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188460?}, 0xc001e0db60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188460}, 0xc00026a640)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188460?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc000181dd0, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.258-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  296.278497ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.361-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43718: height:23 or width:225 must be larger than factor:32\ngoroutine 6705 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0029ca7a0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc004eb2200?, 0xe1)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab80c0}, {0x59427d1db410, 0xc004eb2200})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab80c0}, {0xc002994000, 0x84a, 0x84c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b1e000, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b1e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000540?}, 0xc000e01b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2140)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0033aa000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.362-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  296.779917ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.456-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43726: height:25 or width:187 must be larger than factor:32\ngoroutine 6711 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002a2eb00?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc180?, 0xbb)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8080}, {0x59427d1db410, 0xc0004cc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8080}, {0xc0030e2000, 0x4d8, 0x4da})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00014e660, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00014e660, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0030d8000}, 0xc000154000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0030d8000?}, 0xc00336db60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0030d8000}, 0xc000154000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0030d8000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0033aa090, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.456-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  279.370314ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.546-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43728: height:23 or width:150 must be larger than factor:32\ngoroutine 6713 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002a5b4b0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc100?, 0x96)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab80c0}, {0x59427d1db410, 0xc0004cc100})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab80c0}, {0xc000638900, 0x400, 0x402})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b1e000, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b1e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0001881c0}, 0xc0003b2000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0001881c0?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0001881c0}, 0xc0003b2000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0001881c0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0033aa000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.546-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  285.046965ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.639-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43736: height:23 or width:182 must be larger than factor:32\ngoroutine 6714 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0029f06b0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc100?, 0xb6)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8080}, {0x59427d1db410, 0xc0004cc100})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8080}, {0xc002a7c000, 0x4d6, 0x4d7})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c1c0, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b4c1c0, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188460}, 0xc000154280)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188460?}, 0xc002a8bb60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188460}, 0xc000154280)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188460?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0033aa090, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.640-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |   273.52998ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.758-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43738: height:23 or width:202 must be larger than factor:32\ngoroutine 6686 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0028829d0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c00?, 0xca)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e000}, {0x59427d1db410, 0xc0001e0c00})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e000}, {0xc002a7c500, 0x4f6, 0x4f8})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c240, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c240, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000188540}, 0xc0001543c0)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000188540?}, 0xc002a8bb60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000188540}, 0xc0001543c0)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000188540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.758-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  298.426144ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.847-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43748: height:27 or width:130 must be larger than factor:32\ngoroutine 5985 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0029caf30?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc180?, 0x82)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8200}, {0x59427d1db410, 0xc0004cc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8200}, {0xc000dab800, 0x5ea, 0x5eb})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b1e000, 0x1, 0x59427bb72c85?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc003b1e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000540?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0510, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.847-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  296.261312ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:23.959-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43750: height:27 or width:74 must be larger than factor:32\ngoroutine 6512 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002b74ca0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c80?, 0x4a)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e000}, {0x59427d1db410, 0xc0001e0c80})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e000}, {0xc000056280, 0x24a, 0x24c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c020, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc003b4c020, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0001880e0}, 0xc00026a000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0001880e0?}, 0xc0028d1b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0001880e0}, 0xc00026a000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0001880e0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0020a4120, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:23.960-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:23 | 500 |  316.734923ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:24.078-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43756: height:24 or width:153 must be larger than factor:32\ngoroutine 6738 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002b02090?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c00?, 0x99)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc00015e040}, {0x59427d1db410, 0xc0001e0c00})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc00015e040}, {0xc00024c580, 0x560, 0x561})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00038e000, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00038e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc002c82000}, 0xc000154000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc002c82000?}, 0xc000e07b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc002c82000}, 0xc000154000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc002c82000?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0020a4000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:24.079-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:24 | 500 |  316.222413ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:24.176-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43758: height:23 or width:254 must be larger than factor:32\ngoroutine 6729 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc002e160e0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc180?, 0xfe)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64080}, {0x59427d1db410, 0xc0004cc180})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64080}, {0xc002c1e000, 0xb80, 0xb82})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc00038e060, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc00038e060, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc002c821c0}, 0xc000154280)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc002c821c0?}, 0xc002c19b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc002c821c0}, 0xc000154280)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc002c821c0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc00107c120, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:24.176-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:24 | 500 |  324.679253ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:24.277-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43760: height:23 or width:148 must be larger than factor:32\ngoroutine 6730 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc0030500d0?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0004cc100?, 0x94)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003b64040}, {0x59427d1db410, 0xc0004cc100})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003b64040}, {0xc0001fa700, 0x69c, 0x69c})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00038e000, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000daac00, 0x5ae}, {0xc00038e000, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc000000540?}, 0xc000e01b60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc000000540}, 0xc0003b2000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc000000540?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc00107c000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:24.277-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"
[GIN] 2026/05/21 - 21:54:24 | 500 |  312.435816ms |       127.0.0.1 | POST     "/api/generate"
time=2026-05-21T21:54:24.367-04:00 level=INFO source=server.go:3634 msg="http: panic serving 127.0.0.1:43764: height:23 or width:213 must be larger than factor:32\ngoroutine 6755 [running]:\nnet/http.(*conn).serve.func1()\n\tnet/http/server.go:1947 +0xbe\npanic({0x59427cfa17a0?, 0xc003188050?})\n\truntime/panic.go:792 +0x132\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).SmartResize(0x59427d1db410?, 0xc0001e0c80?, 0xd5)\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:54 +0x3e7\ngithub.com/ollama/ollama/model/models/qwen3vl.(*ImageProcessor).ProcessImage(0xc003a78450, {0x59427d1e9ff0, 0xc003ab8100}, {0x59427d1db410, 0xc0001e0c80})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/imageprocessor.go:92 +0xc5\ngithub.com/ollama/ollama/model/models/qwen3vl.(*Model).EncodeMultimodal(0xc003a78410, {0x59427d1e9ff0, 0xc003ab8100}, {0xc00434e800, 0x784, 0x786})\n\tgithub.com/ollama/ollama/model/models/qwen3vl/model.go:38 +0x113\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).inputs(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc00014e660, 0x1, 0x59427dd6cf80?})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:274 +0x50a\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).NewSequence(0xc0004ca400, {0xc000dab200, 0x5ae}, {0xc00014e660, 0x1, 0x1}, {0xa000, {0x0, 0x0, 0x0}, ...})\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:135 +0x8f\ngithub.com/ollama/ollama/runner/ollamarunner.(*Server).completion(0xc0004ca400, {0x59427d1da9c0, 0xc0001880e0}, 0xc00026a000)\n\tgithub.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0x5d2\nnet/http.HandlerFunc.ServeHTTP(0xc00016dc80?, {0x59427d1da9c0?, 0xc0001880e0?}, 0xc00280fb60?)\n\tnet/http/server.go:2294 +0x29\nnet/http.(*ServeMux).ServeHTTP(0x59427b63af25?, {0x59427d1da9c0, 0xc0001880e0}, 0xc00026a000)\n\tnet/http/server.go:2822 +0x1c4\nnet/http.serverHandler.ServeHTTP({0x59427d1d6970?}, {0x59427d1da9c0?, 0xc0001880e0?}, 0x1?)\n\tnet/http/server.go:3301 +0x8e\nnet/http.(*conn).serve(0xc0004e0000, {0x59427d1dd2d8, 0xc0004df710})\n\tnet/http/server.go:2102 +0x625\ncreated by net/http.(*Server).Serve in goroutine 1\n\tnet/http/server.go:3454 +0x485"
time=2026-05-21T21:54:24.367-04:00 level=ERROR source=server.go:1654 msg="post predict" error="Post \"http://127.0.0.1:40019/completion\": EOF"

Recognizing Layout: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:26<00:00, 26.11s/it]
Running OCR Error Detection: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 29.69it/s]
Detecting bboxes: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:02<00:00,  2.80s/it]
Recognizing Text: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [1:04:49<00:00, 155.56s/it]
Recognizing tables: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:05<00:00,  5.31s/it]
Detecting bboxes: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:05<00:00,  5.19s/it]
Recognizing Text: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 119/119 [1:23:02<00:00, 41.87s/it]
LLMTableProcessor running:   0%|                                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?it/s]2026-05-21 21:27:45,695 [WARNING] marker: Ollama inference failed: Expecting value: line 1 column 1 (char 0)
LLMTableProcessor running:  50%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                                                | 1/2 [05:11<05:11, 311.37s/it]2026-05-21 21:49:33,904 [WARNING] marker: Ollama inference failed: Expecting value: line 1 column 1 (char 0)
LLMTableProcessor running: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [26:59<00:00, 809.79s/it]
LLM processors running:   0%|                                                                                                                                                                                                                                                                            | 0/27 [00:00<?, ?it/s]2026-05-21 21:49:34,186 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:49:34,279 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:   4%|█████████▋                                                                                                                                                                                                                                                          | 1/27 [00:00<00:09,  2.69it/s]2026-05-21 21:49:34,408 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  11%|████████████████████████████▉                                                                                                                                                                                                                                       | 3/27 [00:00<00:03,  6.94it/s]2026-05-21 21:49:34,517 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:49:34,622 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  19%|████████████████████████████████████████████████▏                                                                                                                                                                                                                   | 5/27 [00:00<00:02,  8.00it/s]2026-05-21 21:49:34,723 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  22%|█████████████████████████████████████████████████████████▊                                                                                                                                                                                                          | 6/27 [00:00<00:02,  8.43it/s]2026-05-21 21:54:22,245 [WARNING] marker: Ollama inference failed: Expecting value: line 1 column 1 (char 0)
LLM processors running:  26%|███████████████████████████████████████████████████████████████████▍                                                                                                                                                                                                | 7/27 [04:48<26:36, 79.82s/it]2026-05-21 21:54:22,369 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  30%|█████████████████████████████████████████████████████████████████████████████                                                                                                                                                                                       | 8/27 [04:48<18:06, 57.20s/it]2026-05-21 21:54:22,499 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  33%|██████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                                                             | 9/27 [04:48<12:13, 40.74s/it]2026-05-21 21:54:22,621 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  37%|███████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                                                                   | 10/27 [04:48<08:11, 28.89s/it]2026-05-21 21:54:22,741 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  41%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                                                                         | 11/27 [04:48<05:26, 20.42s/it]2026-05-21 21:54:22,869 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  44%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                                                | 12/27 [04:48<03:36, 14.42s/it]2026-05-21 21:54:22,958 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:23,062 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  52%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                            | 14/27 [04:49<01:42,  7.86s/it]2026-05-21 21:54:23,174 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  56%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                   | 15/27 [04:49<01:11,  5.95s/it]2026-05-21 21:54:23,259 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:23,363 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  63%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                | 17/27 [04:49<00:35,  3.53s/it]2026-05-21 21:54:23,457 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:23,547 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  70%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                            | 19/27 [04:49<00:18,  2.25s/it]2026-05-21 21:54:23,641 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:23,759 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  78%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                         | 21/27 [04:49<00:09,  1.51s/it]2026-05-21 21:54:23,848 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:23,961 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  85%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                      | 23/27 [04:50<00:04,  1.04s/it]2026-05-21 21:54:24,080 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  89%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                            | 24/27 [04:50<00:02,  1.15it/s]2026-05-21 21:54:24,177 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
2026-05-21 21:54:24,278 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running:  96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍         | 26/27 [04:50<00:00,  1.68it/s]2026-05-21 21:54:24,368 [WARNING] marker: Ollama inference failed: 500 Server Error: Internal Server Error for url: http://0.0.0.0:11434/api/generate
LLM processors running: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 27/27 [04:50<00:00, 10.76s/it]
Running LLMSectionHeaderProcessor:   0%|                                                                                                                                                                                                                                                                  | 0/1 [00:00<?, ?it/s]2026-05-21 21:59:20,965 [WARNING] marker: Ollama inference failed: Expecting value: line 1 column 1 (char 0)
2026-05-21 21:59:20,966 [WARNING] marker: LLM did not return a valid response
Running LLMSectionHeaderProcessor: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [04:56<00:00, 296.59s/it]
2026-05-21 21:59:21,102 [INFO] marker: Saved markdown to /home/soundwave/Documents/droit-civil/pharmaprix/TPC/audiences/corpus/RAG/piece-D1.2
2026-05-21 21:59:21,102 [INFO] marker: Total time: 11122.273675441742

Handle Ollama models that return content in thinking field

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Br1an67 mentioned this pull request Mar 1, 2026

Ollama inference failed : Expecting value: line 1 column 1 (char 0) #992

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Handle Ollama models that return content in thinking field#998

Handle Ollama models that return content in thinking field#998
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Br1an67:fix/issue-992-ollama-thinking-field

Br1an67 commented Mar 1, 2026

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pj-connect commented May 9, 2026 •

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tjmchenry commented May 16, 2026

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pj-connect commented May 22, 2026 •

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Br1an67 commented Mar 1, 2026

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pj-connect commented May 9, 2026 •

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pj-connect commented May 22, 2026 •

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