Llama-3.1-8B Sonnet fine-tuning in quantized GGUFs
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/ayan4m1/Llama3.1-8B-Sonnet
Quantized into:
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Prompt format
<|begin_of_text|>{prompt}
Credits
Thanks to Meta, mlfoundations-dev, and Gryphe for providing the data used to create this fine-tuning.
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