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
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:
- 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 with a learning rate of 1e-05. We used 8x NVIDIA H100 Tensor Core GPUs for the full-parameter fine-tuning of the model.
Safety
...