metadata
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 was converted to MLX format from HuggingFaceTB/SmolLM-360M-Instruct using mlx-lm version 0.17.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SmolLM-360M-Instruct")
response = generate(model, tokenizer, prompt="hello", verbose=True)