magnum-v1-32b / README.md
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metadata
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
language:
  - en
  - zh
pipeline_tag: text-generation
base_model: Qwen/Qwen1.5-32B
datasets:
  - u-acc/mimi
  - u-acc/sonnetorcasubset
  - u-acc/claude_writing
  - kalomaze/Opus_Instruct_3k
  - kalomaze/Opus_Instruct_25k
tags:
  - chat

image/png This is the second 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

Three new general purpose instruction following datasets were added on top of the original Stheno dataset (which had certain low quality entries purged/removed). The first two were designed specifically for the Magnum series, to better address prompt adherence and coherence:

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

Training

The training was done for 2 epochs with a learning rate of 1e-05. We used 8x NVIDIA H100 Tensor Core GPUs for the full-parameter fine-tuning of the model.

Built with Axolotl

Safety

...