metadata
license: apache-2.0
base_model: DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-II
datasets:
- DavidAU/The-works-PK-Dick
language:
- en
pipeline_tag: text-generation
tags:
- programming
- code generation
- code
- coding
- coder
- chat
- brainstorm
- qwen
- qwen3
- qwencoder
- brainstorm 20x
- all uses cases
- Jan-V1
- finetune
- thinking
- reasoning
- unsloth
- not-for-all-audiences
- mlx
library_name: mlx
Qwen3-Deckard-Large-Almost-Human-6B-II-qx86-hi-mlx
This model Qwen3-Deckard-Large-Almost-Human-6B-II-qx86-hi-mlx was converted to MLX format from DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-II using mlx-lm version 0.28.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-Deckard-Large-Almost-Human-6B-II-qx86-hi-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)