| base_model: HuggingFaceTB/SmolLM-360M | |
| datasets: | |
| - Magpie-Align/Magpie-Pro-300K-Filtered | |
| - bigcode/self-oss-instruct-sc2-exec-filter-50k | |
| - teknium/OpenHermes-2.5 | |
| - HuggingFaceTB/everyday-conversations-llama3.1-2k | |
| language: | |
| - en | |
| library_name: transformers | |
| license: apache-2.0 | |
| tags: | |
| - alignment-handbook | |
| - trl | |
| - sft | |
| - mlx | |
| # mlx-community/SmolLM-360M-Instruct | |
| The Model [mlx-community/SmolLM-360M-Instruct](https://huggingface.co/mlx-community/SmolLM-360M-Instruct) was converted to MLX format from [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) using mlx-lm version **0.17.0**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/SmolLM-360M-Instruct") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |