Fast-Brain translate Cortex Adapter (LoRA)

translate 专家皮层 LoRA 适配器(~20MB),需配合基底 happybrian/fast-brain-base 使用。

from huggingface_hub import snapshot_download
from mlx_lm import load, generate

base = snapshot_download("happybrian/fast-brain-base")        # 皮层基底
adapter = snapshot_download("happybrian/fast-brain-translate-adapter")  # 本皮层
model, tokenizer = load(base, adapter_path=adapter)
prompt = tokenizer.apply_chat_template(
    [{"role": "user", "content": "..."}], tokenize=False, add_generation_prompt=True)
print(generate(model, tokenizer, prompt=prompt, max_tokens=256))
  • 训练:LoRA r=16, 800 步, 蒸馏数据 ~450-650 条(教师 Qwen3-8B-4bit)
  • 评测:中英双向人工抽检通过
  • 硬件:Apple M5 24GB, mlx-lm
Downloads last month

-

Downloads are not tracked for this model. How to track
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for happybrian/fast-brain-translate-adapter

Adapter
(6)
this model