This is the first 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 Qwen-2 72B Instruct.
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
This model has been a team effort, and the credits goes to all members of Anthracite.
We'd also like to thank Kearm for sponsoring the compute needed to train this model.
Training
The training was done with 55 million tokens of high-quality RP data, over 1.5 epochs. We used 8x AMD Instinct™ MI300X Accelerators for the full-parameter fine-tuning of the model.
Safety
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Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.17 |
| IFEval (0-Shot) | 76.06 |
| BBH (3-Shot) | 57.65 |
| MATH Lvl 5 (4-Shot) | 35.27 |
| GPQA (0-shot) | 18.79 |
| MuSR (0-shot) | 15.62 |
| MMLU-PRO (5-shot) | 49.64 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.21 |
| IFEval (0-Shot) | 76.06 |
| BBH (3-Shot) | 57.65 |
| MATH Lvl 5 (4-Shot) | 35.27 |
| GPQA (0-shot) | 18.79 |
| MuSR (0-shot) | 15.62 |
| MMLU-PRO (5-shot) | 49.85 |