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Model: ertghiu256/qwen3-4b-code-reasoning-v2 Source: Original Platform
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README.md
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---
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base_model:
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- Qwen/Qwen3-4B
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen3
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- code
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- cot
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- thinking
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- reasoning
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- small
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license: apache-2.0
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language:
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- en
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datasets:
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- nvidia/OpenCodeReasoning
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- nvidia/OpenCodeInstruct
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- ChavyvAkvar/qwen3-coder-480b-distill-mini-Converted
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---
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# Qwen3-4b-code-reasoning-v2
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A small qwen 3 model with 4 billion parameters trained on `nvidia/OpenCodeReasoning` and `nvidia/OpenCodeInstruct`. The data is filtered only up to 32 thousands long.
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Additionally it is anchored with a small subset of `ChavyvAkvar/qwen3-coder-480b-distill-mini-Converted`.
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## Recommended parameters:
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```
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temp: 0.6-0.7
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repeat_penalty: 1.2
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top_p: 0.95
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top_k: 20
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min_p: 0.0
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enable_thinking: True
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```
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# Uploaded finetuned model
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- **Developed by:** ertghiu256
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/qwen3-4b-unsloth-bnb-4bit
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This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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