metadata
base_model: meta-llama/Llama-3.1-8B
datasets:
- mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
language:
- en
license: mit
pipeline_tag: text-generation
tags:
- llama3.1
- sonnet
- claude
quantized_by: ayan4m1
inference: true
fine-tuning: true
Llama-3.1-8B Sonnet fine-tuning
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/meta-llama/Llama-3.1-8B
Applied open Sonnet datasets containing ~360k question/answer pairs for fine-tuning.
Training loss
Prompt format
<|begin_of_text|>{prompt}
Release History
- v0.1 - [2025-02-08] Initial release, trained to 512 steps
- v0.2 - [2025-02-10] Restarted training with cleaner dataset, ran to 640 steps
Credits
Thanks to Meta, mlfoundations-dev, and Gryphe for providing the data used to create this fine-tuning.