metadata
base_model: TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- mlx
license: apache-2.0
datasets:
- TeichAI/claude-4.5-opus-high-reasoning-250x
pipeline_tag: text-generation
library_name: mlx
leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-mlx
This model leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-mlx was converted to MLX format from TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-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)