Text Generation
MLX
Safetensors
qwen3_moe
programming
code generation
code
codeqwen
Mixture of Experts
coding
coder
qwen2
chat
qwen
qwen-coder
Qwen3-30B-A3B-Thinking-2507
Qwen3-30B-A3B
mixture of experts
128 experts
8 active experts
256k context
qwen3
finetune
brainstorm 40x
brainstorm
thinking
reasoning
conversational
4-bit precision
Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-1m-dwq4-mlx
This model Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-1m-dwq4-mlx was converted to MLX format from DavidAU/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER using mlx-lm version 0.26.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-1m-dwq4-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)
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Model tree for nightmedia/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-1m-dwq4-mlx
Base model
Qwen/Qwen3-30B-A3B-Thinking-2507