metadata
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- merge
- programming
- code generation
- code
- codeqwen
- coding
- coder
- qwen3
- chat
- qwen
- qwen-coder
- reasoning
- thinking
- r1
- cot
- deepseek
- 40k context
- general usage
- problem solving
- brainstorming
- solve riddles
- mlx
base_model: DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B
library_name: mlx
Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-mlx
This model Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-mlx was converted to MLX format from DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B using mlx-lm version 0.26.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-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)