Mistral 7B Instruct V0.3 GPTQ

🚀 Model Card for Mistral-7B-Instruct-v0.3

This model card provides detailed information about the Mistral-7B-Instruct-v0.3 Large Language Model, including its quantization, usage, features, limitations, and the development team.

🚀 Quick Start

This repo contains a GPTQ 4 bit quantized version of the Mistral-7B-Instruct-v0.3 Large Language Model.

💻 Usage Examples

Basic Usage

from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model_name_or_path = "thesven/Mistral-7B-Instruct-v0.3-GPTQ"

tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
                                             device_map="auto",
                                             trust_remote_code=False,
                                             revision="main")
model.pad_token = model.config.eos_token_id


prompt_template=f'''
<s><<SYS>>You are a very creative story writer. Write a store on the following topic:</s><</SYS>>
<s>[INST]Write a story about Ai</s>[/INST]
<s>[ASSISTANT]
'''

input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()
output = model.generate(inputs=input_ids, temperature=0.1, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=512)
print(tokenizer.decode(output[0]))

📚 Documentation

✨ Features

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

Mistral-7B-v0.3 has the following changes compared to Mistral-7B-v0.2:

• Extended vocabulary to 32768
• Supports v3 Tokenizer
• Supports function calling

🔧 Technical Details

The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms. The development team is looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.

📄 License

The model is licensed under the Apache-2.0 license.

👥 The Mistral AI Team

Albert Jiang, Alexandre Sablayrolles, Alexis Tacnet, Antoine Roux, Arthur Mensch, Audrey Herblin-Stoop, Baptiste Bout, Baudouin de Monicault, Blanche Savary, Bam4d, Caroline Feldman, Devendra Singh Chaplot, Diego de las Casas, Eleonore Arcelin, Emma Bou Hanna, Etienne Metzger, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Harizo Rajaona, Jean-Malo Delignon, Jia Li, Justus Murke, Louis Martin, Louis Ternon, Lucile Saulnier, Lélio Renard Lavaud, Margaret Jennings, Marie Pellat, Marie Torelli, Marie-Anne Lachaux, Nicolas Schuhl, Patrick von Platen, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Thibaut Lavril, Timothée Lacroix, Théophile Gervet, Thomas Wang, Valera Nemychnikova, William El Sayed, William Marshall