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README.md
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@@ -9,6 +9,7 @@ library_name: transformers
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tags:
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- LCoT
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- Qwen
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datasets:
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- PowerInfer/QWQ-LONGCOT-500K
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- AI-MO/NuminaMath-CoT
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3. **Complexity Ceiling**: While optimized for multi-step reasoning, exceedingly complex or abstract problems may result in incomplete or incorrect outputs.
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4. **Dependency on Prompt Quality**: The quality and specificity of the user prompt heavily influence the model's responses.
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5. **Non-Factual Outputs**: Despite being fine-tuned for reasoning, the model can still generate hallucinated or factually inaccurate content, particularly for niche or unverified topics.
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6. **Computational Requirements**: Running the model effectively requires significant computational resources, particularly when generating long sequences or handling high-concurrency workloads.
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tags:
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- LCoT
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- Qwen
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- v2
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datasets:
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- PowerInfer/QWQ-LONGCOT-500K
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- AI-MO/NuminaMath-CoT
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3. **Complexity Ceiling**: While optimized for multi-step reasoning, exceedingly complex or abstract problems may result in incomplete or incorrect outputs.
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| 81 |
4. **Dependency on Prompt Quality**: The quality and specificity of the user prompt heavily influence the model's responses.
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| 82 |
5. **Non-Factual Outputs**: Despite being fine-tuned for reasoning, the model can still generate hallucinated or factually inaccurate content, particularly for niche or unverified topics.
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| 83 |
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6. **Computational Requirements**: Running the model effectively requires significant computational resources, particularly when generating long sequences or handling high-concurrency workloads.
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