metadata
pipeline_tag: text-generation
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
library_name: mlx
tags:
- mlx
base_model: MiniMaxAI/MiniMax-M2.7
catalystsec/MiniMax-M2.7-4bit-DWQ
This model was quantized to 4-bit using DWQ with mlx-lm version 0.31.2.
| Parameter | Value |
|---|---|
| DWQ learning rate | 2e-7 |
| Batch size | 1 |
| Dataset | allenai/tulu-3-sft-mixture |
| Initial validation loss | 0.051 |
| Final validation loss | 0.032 |
| Relative KL reduction | ≈37 % |
| Tokens processed | ≈1.16 M |
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("catalystsec/MiniMax-M2.7-4bit-DWQ")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)