Text Generation
Transformers
Safetensors
MLX
qwen3_moe
programming
code generation
code
codeqwen
Mixture of Experts
coding
coder
qwen2
chat
qwen
qwen-coder
Qwen3-Coder-30B-A3B-Instruct
Qwen3-30B-A3B
mixture of experts
128 experts
8 active experts
1 million context
qwen3
brainstorm 20x
brainstorm
optional thinking
mlx-my-repo
conversational
8-bit precision
McG-221/Qwen3-42B-A3B-Spock-Brutal-Recall-Instruct-mlx-8Bit
The Model McG-221/Qwen3-42B-A3B-Spock-Brutal-Recall-Instruct-mlx-8Bit was converted to MLX format from DavidAU/Qwen3-42B-A3B-Spock-Brutal-Recall-Instruct using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("McG-221/Qwen3-42B-A3B-Spock-Brutal-Recall-Instruct-mlx-8Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Downloads last month
- 190
Model tree for McG-221/Qwen3-42B-A3B-Spock-Brutal-Recall-Instruct-mlx-8Bit
Base model
nightmedia/Qwen3-30B-A3B-Spock-bf16