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Qwen3-30B-A3B-Thinking-2507
Qwen3-30B-A3B
mixture of experts
128 experts
10 active experts
256k context
qwen3
finetune
brainstorm 40x
brainstorm
thinking
reasoning
mlx-my-repo
conversational
8-bit precision
Wwayu/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-mlx-8Bit
The Model Wwayu/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-mlx-8Bit was converted to MLX format from DavidAU/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-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)
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Model tree for Wwayu/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-mlx-8Bit
Base model
Qwen/Qwen3-30B-A3B-Thinking-2507