Mistral-7B-Saiga

This is a generative model converted to fp16 format based on IlyaGusev/saiga_mistral_7b_lora

Install vLLM:

pip install vllm

Start server:

python -u -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --model Gaivoronsky/Mistral-7B-Saiga

Client:

import openai

openai.api_base = "http://localhost:8000/v1"
openai.api_key = "none"

DEFAULT_MESSAGE_TEMPLATE = "<s>{role}\n{content}</s>"
DEFAULT_RESPONSE_TEMPLATE = "<s>bot\n"
DEFAULT_SYSTEM_PROMPT = "Ты — Сайга, русскоязычный автоматический ассистент. Ты разговариваешь с людьми и помогаешь им."


class Conversation:
    def __init__(
        self,
        message_template=DEFAULT_MESSAGE_TEMPLATE,
        system_prompt=DEFAULT_SYSTEM_PROMPT,
        response_template=DEFAULT_RESPONSE_TEMPLATE
    ):
        self.message_template = message_template
        self.response_template = response_template
        self.messages = [{
            "role": "system",
            "content": system_prompt
        }]

    def add_user_message(self, message):
        self.messages.append({
            "role": "user",
            "content": message
        })

    def add_bot_message(self, message):
        self.messages.append({
            "role": "bot",
            "content": message
        })

    def get_prompt(self):
        final_text = ""
        for message in self.messages:
            message_text = self.message_template.format(**message)
            final_text += message_text
        final_text += DEFAULT_RESPONSE_TEMPLATE
        return final_text.strip()


query = "Сколько весит жираф?"
conversation = Conversation()
conversation.add_user_message(query)
prompt = conversation.get_prompt()

response = openai.ChatCompletion.create(
        model="Gaivoronsky/Mistral-7B-Saiga",
        messages=[{"role": "user", "content": prompt}],
        system=DEFAULT_SYSTEM_PROMPT,
        max_tokens=512,
        stop=['</s>']
)
response['choices'][0]['message']['content']