Japanese Stablelm Instruct Alpha 7b

🚀 Japanese-StableLM-Instruct-Alpha-7B

A 7B parameter decoder-only language model pre-trained on Japanese data and fine-tuned for instruction following.

🚀 Quick Start

Access Requirements

This repository is publicly accessible, but you have to accept the conditions to access its files and content. You need to provide the following information:

• Name
• Email
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• Confirm that you agree to accept the conditions and share the above info with Stability AI

License Agreement and Acceptable Use Policy

By using or distributing any portion or element of the Software Products, you agree to be bound by the Japanese StableLM Research License Agreement and Japanese StableLM Acceptable Use Policy.

✨ Features

• Built on top of the Japanese-StableLM-Base-Alpha-7B model.
• Further fine-tuned on various instruction-following datasets.

📦 Installation

First, install additional dependencies in requirements.txt:

pip install sentencepiece einops

💻 Usage Examples

Basic Usage

import torch
from transformers import LlamaTokenizer, AutoModelForCausalLM

tokenizer = LlamaTokenizer.from_pretrained("novelai/nerdstash-tokenizer-v1", additional_special_tokens=['▁▁'])

model = AutoModelForCausalLM.from_pretrained(
    "stabilityai/japanese-stablelm-instruct-alpha-7b",    
    trust_remote_code=True,
)
model.half()
model.eval()

if torch.cuda.is_available():
    model = model.to("cuda")

def build_prompt(user_query, inputs="", sep="\n\n### "):
    sys_msg = "以下は、タスクを説明する指示と、文脈のある入力の組み合わせです。要求を適切に満たす応答を書きなさい。"
    p = sys_msg
    roles = ["指示", "応答"]
    msgs = [": \n" + user_query, ": "]
    if inputs:
        roles.insert(1, "入力")
        msgs.insert(1, ": \n" + inputs)
    for role, msg in zip(roles, msgs):
        p += sep + role + msg
    return p

# this is for reproducibility.
# feel free to change to get different result
seed = 42
torch.manual_seed(seed)

# Infer with prompt without any additional input
user_inputs = {
    "user_query": "VR とはどのようなものですか？",
    "inputs": ""
}
prompt = build_prompt(**user_inputs)

input_ids = tokenizer.encode(
    prompt, 
    add_special_tokens=False, 
    return_tensors="pt"
)

tokens = model.generate(
    input_ids.to(device=model.device),
    max_new_tokens=256,
    temperature=1,
    top_p=0.95,
    do_sample=True,
)

out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
print(out)

📚 Documentation

Model Description

japanese-stablelm-instruct-alpha-7b is a 7B parameter decoder-only language models pre-trained built on top of the Japanese-StableLM-Base-Alpha-7B model and further fine-tuned on various instruction-following datasets.

Japanese StableLM Research License Agreement

Dated: August 7, 2023

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📄 License

The model is released under the Japanese StableLM Research License Agreement.