README.md

metadata

language:
  - zh
  - en
  - fr
  - de
  - ja
  - ko
  - it
  - fi
license: apache-2.0
tags:
  - qwen3
  - mlx
pipeline_tag: text-generation
base_model: OpenBuddy/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT
library_name: mlx

WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT

This model WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT was converted to MLX format from OpenBuddy/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT")

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)