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README.md
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---
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base_model:
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- unsloth/Llama-3.2-1B
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tags:
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- text-generation-inference
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- transformers
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# ReasoningLlama-Math-1B-IT
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## Model Description:
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This is a fine-tuned version of [unsloth/Llama-3.2-1B](https://huggingface.co/unsloth/Llama-3.2-1B) on the [unsloth/OpenMathReasoning-mini](https://huggingface.co/datasets/unsloth/OpenMathReasoning-mini) dataset which is a small version of the [nvidia/OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning) dataset which was used to win the [AIMO](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/leaderboard) (AI Mathematical Olympiad) challenge!
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- **recommended settings for inference:** min_p = 0.1 and temperature = 1.5 , Read this [Tweet](https://x.com/menhguin/status/1826132708508213629) to understand why.
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- **License :** apache-2.0
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- **Finetuned from model :** unsloth/Llama-3.2-1B
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## Benchmarks:
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We evaluate ReasoningLlama-Math-1B-IT on GSM8K using the standard lm-eval 5-shot exact-match protocol. Under identical decoding and extraction settings,ReasoningLlama-Math-1B-IT outperforms Meta’s Llama-3.2-1B by more than 4×, demonstrating a substantial improvement in small-model mathematical reasoning capability.
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| Model | Params | GSM8K (5-shot, EM) |
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| ----------------------------- | ------ | ------------------ |
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| **ReasoningLlama-Math-1B-IT** | 1B | **30.7%** |
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| Llama-3.2-1B | 1B | 6.8% |
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<p align="center">
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<img alt="ReasonningLlama-Math-1B-IT" src="https://huggingface.co/Cannae-AI/ReasoningLlama-Math-1B-IT/resolve/main/ChatGPT%20Image%2018%20nov.%202025%2C%2020_55_23.png">
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</p>
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---
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base_model:
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- unsloth/Llama-3.2-1B-Instruct
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tags:
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- text-generation-inference
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- transformers
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---
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# ReasoningLlama-Math-1B-IT
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## Model Description:
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This is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the [unsloth/OpenMathReasoning-mini](https://huggingface.co/datasets/unsloth/OpenMathReasoning-mini) dataset which is a small version of the [nvidia/OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning) dataset which was used to win the [AIMO](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/leaderboard) (AI Mathematical Olympiad) challenge!
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- **recommended settings for inference:** min_p = 0.1 and temperature = 1.5 , Read this [Tweet](https://x.com/menhguin/status/1826132708508213629) to understand why.
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- **License :** apache-2.0
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- **Finetuned from model :** unsloth/Llama-3.2-1B-Instruct
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