magnum-v2-32b-exl2

This repo contains EXL2 quants of the model. If you need the original weights, please find them here.

Base repo only contains the measurement file, see revisions for your quant of choice.

• measurement.json
• 3.0bpw
• 4.0bpw
• 5.0bpw
• 6.0bpw
• 8.0bpw

This is the third in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of Qwen1.5 32B.

Prompting

Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:

"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""

Credits

• Stheno dataset (filtered)
• NobodyExistsOnTheInternet/claude_3.5s_single_turn_unslop_filtered
• NobodyExistsOnTheInternet/PhiloGlanSharegpt
• NobodyExistsOnTheInternet/Magpie-Reasoning-Medium-Subset
• kalomaze/Opus_Instruct_25k
• Nopm/Opus_WritingStruct
• Gryphe/Sonnet3.5-SlimOrcaDedupCleaned (A ~16k rows subset)

This model has been a team effort, and the credits goes to all members of Anthracite.

Training

The training was done for 2 epochs. We used 8x NVIDIA H100 Tensor Core GPUs for the full-parameter fine-tuning of the model.

<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>

Safety

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