Rain-7B-v0.1/README.md

license, license_name, license_link, datasets, language, pipeline_tag, tags

license	license_name	license_link	datasets	language	pipeline_tag	tags
other	tongyi-qianwen	https://huggingface.co/Qwen/Qwen1.5-7B-Chat/raw/main/LICENSE	yys/OpenOrca-Chinese	zh en	text-generation	CoT

<style> @font-face { font-family: Zpix; src: url(https://zpix.now.sh/zpix.woff2?v2021-03-21); } * { font-family:Zpix; } #main-ame-back { font-family:Zpix; color: #fd96fd !important; padding: 15px; } a { color:#fd87c2 !important } #main-ame-back h1{ color:#8e45f5 !important; } </style>

ジェルばんは~

🧬UPDATE: Please see Here for v0.2 model.

🧬Rain-7B-v0.1

Rain-7B-v0.1 is an experimental model finetuned on Qwen1.5-7B-Chat with thousands of chain of thought conversations.

It work better for "think step by step" prompt.

🧬Evaluation

Model name	MMLU
Qwen1.5-7B-Chat	55.8
Rain-7B-v0.1	58.1

🧬Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "raincandy-u/Rain-7B-v0.1"
messages = [{"role": "user", "content": "What is chain of thoughts?"}]

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"])