Llama-3.3-70B-o1 Thinker Model
This model was fine-tuned on CoT-style reasoning traces. The model will respond with a thinking trace
between the <|begin_of_thought|> and <|end_of_thought|> tags. The final answer will be between the <|begin_of_solution|>
and <|end_of_solution|> tags.
Compared to the base Llama model, this thinker model has a tendency to generate a large number of tokens. So, if you are benchmarking
make sure you have the full generated text in the reponse, ending with the <|end_of_solution|> tag. For most queries,
you will need to set the max_tokens to at least 8192.
The GGUF quants for the model are available here - Llama-3.3-70B-o1-gguf
The model was trained using QLoRA fine-tuning. You can find the adapter here - Llama-3.3-70B-o1-lora.
Evaluation results
| Model | AIME 2024 pass@1 |
|---|---|
| Llama-3.3-70B-o1 | 46.7 |
| Llama-3.3-70B | 30.0 |
| Sky-T1-32B-Preview | 43.3 |
| o1-preview | 40.0 |
| QwQ | 50.0 |
- Developed by: codelion
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.3-70b-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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