karasu-chatvector-mlx_lm-chatalpaca

karasu fine tuned model by lora method with alpaca_cleaned_ja_json.

• Base model: niryuu/Karasu-1.1b-chat-vector
• Traning dataset: shi3z/alpaca_cleaned_ja_json formatted by mlx's chat-template

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "aipib/suzume-taskarith1"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

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"])