Maestrale Chat V0.3 Beta

🚀 Maestrale chat beta ༄

A fine - tuned Mistral - 7b model for Italian language chat, developed by @efederici and @mferraretto

🚀 Quick Start

Model Information

✨ Features

Model description

• Language Model: Mistral - 7b for the Italian language, continued pre - training for Italian on a curated large - scale high - quality corpus.
• Fine - Tuning: SFT performed on convs/instructions for three epochs.
• KTO: Aligned with KTO.

v0.3

• Function calling
• Reduced default system prompt to avoid wasting tokens (pre - alignment)

This model uses ChatML prompt format:

<|im_start|>system
Sei un assistente utile.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

💻 Usage Examples

Basic Usage

from transformers import (
    AutoTokenizer, 
    AutoModelForCausalLM, 
    GenerationConfig,
    TextStreamer
)
import torch

tokenizer = AutoTokenizer.from_pretrained("mii-llm/maestrale-chat-v0.3-beta")
model = AutoModelForCausalLM.from_pretrained("mii-llm/maestrale-chat-v0.3-beta", load_in_8bit=True, device_map="auto")

gen = GenerationConfig(
    do_sample=True,
    temperature=0.7,
    repetition_penalty=1.2,
    top_k=50,
    top_p=0.95,
    max_new_tokens=500,
    pad_token_id=tokenizer.eos_token_id,
    eos_token_id=tokenizer.convert_tokens_to_ids("<|im_end|>")
)

streamer = TextStreamer(tokenizer, skip_prompt=True)

messages = [
    {"role": "system", "content": "Sei un assistente utile."},
    {"role": "user", "content": "{prompt}"}
]

with torch.no_grad():
    temp = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
    inputs = tokenizer(temp, return_tensors="pt").to("cuda")

    _ = model.generate(
        **inputs,
        streamer=streamer,
        generation_config=gen
    )

📚 Documentation

Intended uses & limitations

It's a beta version, but it's not safe.

📄 License

This model is licensed under cc - by - nc - 4.0.