ayan4m1/Claudette-7B

Claudette-7B - A Mistral fine-tuning with Claude data

Using unsloth for fine-tuning:

==((====))==  Unsloth 2025.2.4: Fast Llama patching. Transformers: 4.48.2.
   \\   /|    GPU: NVIDIA A100-SXM4-40GB. Max memory: 39.557 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.5.1+cu124. CUDA: 8.0. CUDA Toolkit: 12.4. Triton: 3.1.0
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.29. FA2 = False]
 "-____-"     Free Apache license: http://github.com/unslothai/unsloth

Original model: https://huggingface.co/unsloth/mistral-7b-instruct-v0.3-bnb-4bit

Applied Claude-sourced datasets containing ~200k question/answer pairs for fine-tuning.

Training loss

Prompt format

<s>[INST]{prompt}[/INST]

Comparison

In my non-exhaustive testing, this model performs as well or better than Llama3.1-8B-Sonnet in half the execution time.

Release History

• v0.1 - [2025-02-12] Initial release, trained to 1024 steps

Credits

Thanks to Mistral AI, mlfoundations-dev, Gryphe, and nothingisreal for providing the data used to create this fine-tuning.