README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - axolotl
  - mlx
base_model: Qwen/Qwen2-0.5B
datasets:
  - cognitivecomputations/Dolphin-2.9
  - teknium/OpenHermes-2.5
  - cognitivecomputations/samantha-data
  - microsoft/orca-math-word-problems-200k

mlx-community/dolphin-2.9.3-qwen2-0.5b-8bit

This model was converted to MLX format from cognitivecomputations/dolphin-2.9.3-qwen2-0.5b using mlx-lm version 0.12.1. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/dolphin-2.9.3-qwen2-0.5b-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)