LogicBombaklot/qqWen-14B-RL-Reasoning-mlx-8Bit
The Model LogicBombaklot/qqWen-14B-RL-Reasoning-mlx-8Bit was converted to MLX format from morganstanley/qqWen-14B-RL-Reasoning using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("LogicBombaklot/qqWen-14B-RL-Reasoning-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 size
15B params
Tensor type
F32
·
U32 ·
Hardware compatibility
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8-bit
Model tree for LogicBombaklot/qqWen-14B-RL-Reasoning-mlx-8Bit
Base model
Qwen/Qwen2.5-14B Finetuned
Qwen/Qwen2.5-14B-Instruct Finetuned
morganstanley/qqWen-14B-RL-Reasoning