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README.md
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@@ -6,7 +6,7 @@ datasets:
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- TeichAI/claude-4.5-opus-high-reasoning-250x
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- TeichAI/claude-sonnet-4.5-high-reasoning-250x
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base_model:
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tags:
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- gpt_oss
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- openai
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@@ -37,4 +37,4 @@ Traditional fine-tuning often suffers from:
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- **Catastrophic forgetting** when training on sequential datasets
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- **Imbalanced capabilities** from single-source training
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- **Style inconsistencies** across different task types
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- TeichAI/claude-4.5-opus-high-reasoning-250x
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- TeichAI/claude-sonnet-4.5-high-reasoning-250x
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base_model:
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- midorin-Linux/gpt-oss-20b-Coding-Distill
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| 10 |
tags:
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| 11 |
- gpt_oss
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| 12 |
- openai
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| 37 |
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| 38 |
- **Catastrophic forgetting** when training on sequential datasets
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| 39 |
- **Imbalanced capabilities** from single-source training
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| 40 |
+
- **Style inconsistencies** across different task types
|