7f7223e0ac
Replaces gpt-oss on ModelConfig, qa.model and processing.title_model, and ministral-3 on the picture-description model. qa.model.vision follows the model and is now true. enable_thinking was gated on the gpt-oss name, so it did nothing for qwen3.8. With title_model's max_tokens of 100 the reasoning consumed the whole budget and title generation returned an empty string. The mapping now applies to any ollama model via reasoning_effort(): false sends "none", true sends "high". Measured on qwen3.8:27b-mlx, "low" does not disable thinking and "none" does; gpt-oss is the inverse, its template has no "none" level, so it keeps "low". Picture description bypasses get_model -- docling posts the request itself from a params dict -- so the flag was inert on that path too. vlm_api_params() carries reasoning_effort into both converters' request bodies. At max_tokens 200 the description survived either way, but the switch cut completion tokens from 141 to 45. test_search_tool_skips_binary_content_when_qa_model_is_text_only asserted the vision default rather than setting it; it now configures vision=False itself. docs/benchmarks.md keeps ministral-3: those are recorded measurements. |
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| .. | ||
| __init__.py | ||
| loader.py | ||
| models.py | ||