aipib/karasu-moe2

🤗 Hugging Face 来源text-generationapache-2.01.9B 参数7.4 GBsafetensors✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo aipib/karasu-moe2 ./model-folder
需要做种者 →

karasu-moe2

karasu-moe2 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:

🧩 Configuration

base_model: lightblue/karasu-1.1B
experts:
  - source_model: yuiseki/karasu-sake-qa-v0.1
    positive_prompts:
    - "chat"
    - "assistant"
    - "instruct"
    - "explain"
  - source_model: lightblue/karasu-1.1B
    positive_prompts:
    - "storywriting"
    - "write"
    - "reason"
    - "count"

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "aipib/karasu-moe2"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])