sweeden-ttu/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-mlx-2Bit
The Model sweeden-ttu/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-mlx-2Bit was converted to MLX format from Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sweeden-ttu/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-mlx-2Bit")
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 size
27B params
Tensor type
BF16
·
U32 ·
F32 ·
Hardware compatibility
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2-bit
Model tree for sweeden-ttu/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-mlx-2Bit
Base model
Qwen/Qwen3.5-27B