README.md

metadata

language:
  - en
license: mit
tags:
  - mlx
base_model:
  - unsloth/Phi-3-mini-4k-instruct
datasets:
  - cognitivecomputations/Dolphin-2.9.2
  - teknium/OpenHermes-2.5
  - m-a-p/CodeFeedback-Filtered-Instruction
  - cognitivecomputations/dolphin-coder
  - cognitivecomputations/samantha-data
  - microsoft/orca-math-word-problems-200k
  - internlm/Agent-FLAN
  - cognitivecomputations/SystemChat-2.0

mlx-community/dolphin-2.9.2-Phi-3-Medium-4bit

This model was converted to MLX format from cognitivecomputations/dolphin-2.9.2-Phi-3-Medium 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-2.9.2-Phi-3-Medium-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)