README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - axolotl
  - mlx
base_model: mistralai/Mistral-Nemo-Base-2407
datasets:
  - cognitivecomputations/Dolphin-2.9
  - teknium/OpenHermes-2.5
  - m-a-p/CodeFeedback-Filtered-Instruction
  - cognitivecomputations/dolphin-coder
  - cognitivecomputations/samantha-data
  - microsoft/orca-math-word-problems-200k
  - Locutusque/function-calling-chatml
  - internlm/Agent-FLAN

mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit

The Model mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit was converted to MLX format from cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)