Instructions to use tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-sdpo_tooluse-p1_sft_math_tooluse-s43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-sdpo_tooluse-p1_sft_math_tooluse-s43 with PEFT:
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- Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| base_model: meta-llama/Llama-3.1-8B-Instruct | |
| tags: | |
| - amr-fma | |
| - lora_sft | |
| - domain:tool_use | |
| - phase:P1 | |
| # tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-sdpo_tooluse-p1_sft_math_tooluse-s43 | |
| amr-fma training run. | |
| - **Method**: `lora_sft` | |
| - **Base model**: `meta-llama/Llama-3.1-8B-Instruct` | |
| - **Dataset**: `lasgroup/SDPO` (slug: `sdpo_tooluse`) | |
| - **Seed**: `43` | |
| - **Git commit**: `8b979a30de6dfbf3b5a1052e42d8c0453b214d3f` | |
| - **Exp name**: `p1_sft_math_tooluse` | |
| - **WandB run**: `4l3ivdio` | |
| ## Tags | |
| - phase:P1 | |
| - domain:tool_use | |
| ## Checkpoints (branches) | |
| - step 1 β revision `step-00001` | |
| - step 3 β revision `step-00003` | |
| - step 7 β revision `step-00007` | |
| - step 14 β revision `step-00014` | |
| - step 29 β revision `step-00029` | |
| - step 57 β revision `step-00057` | |
| - step 114 β revision `step-00114` | |
| Pin a specific checkpoint with `revision=...` in | |
| `AutoModelForCausalLM.from_pretrained` / `PeftModel.from_pretrained`. | |
| ## Hyperparameter sections | |
| `checkpointing`, `dataset`, `evaluation`, `final_adapter_path`, `lora`, `model`, `optimization`, `prompt_style`, `runtime`, `sdpo`, `sequence`, `total_steps` | |