metadata
language:
- en
license: apache-2.0
library_name: transformers
tags:
- alignment-handbook
- trl
- sft
- mlx
base_model: HuggingFaceTB/SmolLM-135M
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
madroid/SmolLM-135M-Instruct-4bit
The Model madroid/SmolLM-135M-Instruct-4bit was converted to MLX format from HuggingFaceTB/SmolLM-135M-Instruct using mlx-lm version 0.17.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("madroid/SmolLM-135M-Instruct-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)