README.md

metadata

license: apache-2.0
datasets:
  - Azure99/blossom-v6.1-sft-stage1
  - Azure99/blossom-v6.1-sft-stage2
language:
  - zh
  - en
base_model: Azure99/Blossom-V6.1-8b
tags:
  - mlx
library_name: mlx
pipeline_tag: text-generation

Blossom-V6.1-8b-dwq4-mlx

This model Blossom-V6.1-8b-dwq4-mlx was converted to MLX format from Azure99/Blossom-V6.1-8b using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Blossom-V6.1-8b-dwq4-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)