m-i/Qwen2.5-14B-DeepSeek-R1-1M-Q8-mlx
The Model m-i/Qwen2.5-14B-DeepSeek-R1-1M-Q8-mlx was converted to MLX format from mkurman/Qwen2.5-14B-DeepSeek-R1-1M using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("m-i/Qwen2.5-14B-DeepSeek-R1-1M-Q8-mlx")
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 m-i/Qwen2.5-14B-DeepSeek-R1-1M-Q8-mlx
Base model
Qwen/Qwen2.5-14B
Finetuned
Qwen/Qwen2.5-14B-Instruct-1M
Quantized
mkurman/Qwen2.5-14B-DeepSeek-R1-1M