|
--- |
|
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](https://huggingface.co/Qwen/Qwen1.5-32B). |
|
|
|
|
|
## Prompting |
|
Model has been Instruct tuned with the ChatML formatting. A typical input would look like this: |
|
|
|
```py |
|
"""<|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](https://huggingface.co/datasets/kalomaze/Opus_Instruct_25k) |
|
- [Nopm/Opus_WritingStruct](https://huggingface.co/datasets/Nopm/Opus_WritingStruct) |
|
- [Gryphe/Sonnet3.5-SlimOrcaDedupCleaned](https://huggingface.co/datasets/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](https://www.nvidia.com/en-us/data-center/h100/) 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"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
|
|
## Safety |
|
... |
