Initial commit
Browse files- .gitattributes +1 -0
- ggml-model-q4_1.bin +3 -0
- interact.py +65 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ggml-model-q4_1.bin filter=lfs diff=lfs merge=lfs -text
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ggml-model-q4_1.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4e6bf295d3e2eee786610e147b885193a148425df46d8ac2e45b61151dd7172
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size 24399792512
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interact.py
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import fire
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from llama_cpp import Llama
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MESSAGE_TEMPLATE = "{role}\n{content}"
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SYSTEM_PROMPT = "Ты — Сайга, русскоязычный автоматический ассистент. Ты разговариваешь с людьми и помогаешь им."
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BOT_TOKEN = 9225
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LINEBREAK_TOKEN = 13
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def get_message_tokens(model, role, content):
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message_text = MESSAGE_TEMPLATE.format(role=role, content=content)
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message_tokens = model.tokenize(message_text.encode("utf-8"))
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message_tokens.append(model.token_eos())
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return message_tokens
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def get_system_tokens(model):
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system_message = {
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"role": "system",
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"content": SYSTEM_PROMPT
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}
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return get_message_tokens(model, **system_message)
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def interact(
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model_path,
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n_ctx=2000,
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top_k=30,
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top_p=0.9,
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temperature=0.2,
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repeat_penalty=1.1
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):
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model = Llama(
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model_path=model_path,
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n_ctx=n_ctx,
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n_parts=1,
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)
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system_tokens = get_system_tokens(model)
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tokens = system_tokens
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model.eval(tokens)
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while True:
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user_message = input("User: ")
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message_tokens = get_message_tokens(model=model, role="user", content=user_message)
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role_tokens = [model.token_bos(), BOT_TOKEN, LINEBREAK_TOKEN]
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tokens += message_tokens + role_tokens
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generator = model.generate(
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tokens,
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top_k=top_k,
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top_p=top_p,
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temp=temperature,
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repeat_penalty=repeat_penalty
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)
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for token in generator:
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token_str = model.detokenize([token]).decode("utf-8")
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tokens.append(token)
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if token == model.token_eos():
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break
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print(token_str, end="", flush=True)
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print()
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if __name__ == "__main__":
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fire.Fire(interact)
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