| | --- |
| | base_model: appvoid/arco |
| | language: |
| | - en |
| | license: apache-2.0 |
| | tags: |
| | - text-generation-inference |
| | - transformers |
| | - unsloth |
| | - llama |
| | - trl |
| | - sft |
| | --- |
| | |
| | ### Prompt |
| |
|
| | Similar to the popular llama3-70b-reflection model you can prompt it as follows: |
| |
|
| | ``` |
| | What is 12 + 12? |
| | |
| | <thinking> |
| | ``` |
| |
|
| | | Task | Score | Metric | |
| | |--------------|-------|-----------| |
| | | ARC Challenge| 0.3541| acc_norm | |
| | | HellaSwag | 0.6049| acc_norm | |
| | | MMLU | 0.2730| acc | |
| | | PIQA | 0.7247| acc_norm | |
| | | Winogrande | 0.6022| acc | |
| | |
| | This table presents the extracted scores in a clear, tabular format. The "Task" column shows the name of each benchmark, the "Score" column displays the corresponding value, and the "Metric" column indicates whether the score is acc_norm or acc. |
| |
|
| | # Uploaded model |
| |
|
| | - **Developed by:** appvoid |
| | - **License:** apache-2.0 |
| | - **Finetuned from model :** appvoid/arco |
| |
|
| | This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
| |
|
| | [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
| |
|
