AliesTaha/fable-traces · Hugging Face

一个紧凑的指令微调语言模型，基于 Qwen/Qwen3-4B-Instruct-2507。fable-traces 专为简短、对话式的回复而微调，可在单个中端GPU上流畅运行。

使用

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "AliesTaha/fable-traces"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(repo, dtype=torch.bfloat16, device_map="auto")

messages = [{"role": "user", "content": "Tell me something interesting."}]
ids = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
out = model.generate(ids, max_new_tokens=100, do_sample=False)
print(tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True))

使用vLLM部署：

vllm serve AliesTaha/fable-traces

详细信息

许可证

Apache 2.0，遵循基础模型。