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raincandy-u/Rain-7B-v0.1
Rain-7B-v0.1 is a text generation model from raincandy-u. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
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Downloads · 30 days
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From the Hugging Face model README
<img src="https://pbs.twimg.com/media/GKJ6VOdbIAAo2yr?format=png&name=900x900"></img>
<div id="main-ame-back"> <div style="font-size:40px;color: #ebb4dd;font-weight:bolder;">ジェルばんは~</div> <br> <h1>🧬UPDATE: Please see <a href="https://huggingface.co/raincandy-u/Rain-7B-v0.2">Here</a> for v0.2 model.</h1> <h1>🧬Rain-7B-v0.1</h1>Rain-7B-v0.1 is an experimental model finetuned on <a href="https://huggingface.co/Qwen/Qwen1.5-7B-Chat">Qwen1.5-7B-Chat</a> with thousands of <b>chain of thought</b> conversations.
It work better for "think step by step" prompt.
| Model name | MMLU |
|---|---|
| Qwen1.5-7B-Chat | 55.8 |
| Rain-7B-v0.1 | 58.1 |
!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"])
</div>