Mistral-Nemo-Instruct-2407-GGUF Open-Source Model - Free Deployment to Support Text Generation Tasks

Mistral Nemo Instruct 2407 GGUF

Developed by MaziyarPanahi

Mistral-Nemo-Instruct-2407-GGUF is the GGUF format quantized version of mistralai/Mistral-Nemo-Instruct-2407, supporting multiple quantization bits (2-bit to 8-bit), suitable for text generation tasks.

Large Language Model #Multi-bit Quantization #Instruction Fine-tuning #Local Inference

Downloads 441.17k

Release Time : 7/18/2024

Model Overview

This model is a quantized version based on Mistral-Nemo-Instruct-2407, using GGUF format, suitable for local deployment and operation, supporting multiple quantization options to balance performance and resource consumption.

Model Features

Multiple Quantization Options

Supports multiple quantization options from 2-bit to 8-bit, allowing users to choose the appropriate quantization level based on their needs.

GGUF Format

Uses GGUF format, compatible with various clients and libraries such as llama.cpp, LM Studio, etc.

Local Deployment

Suitable for local deployment and operation, supports GPU acceleration, ideal for resource-constrained environments.

Model Capabilities

Text Generation

Instruction Following

Use Cases

Text Generation

Content Creation

Generate articles, stories, or other text content.

Dialogue Systems

Used to build chatbots or conversational assistants.

Instruction Execution

Task Automation

Execute specific tasks based on user instructions, such as generating code, answering questions, etc.

🚀 MaziyarPanahi/Mistral-Nemo-Instruct-2407-GGUF

This repository contains GGUF format model files for Mistral-Nemo-Instruct-2407, enabling efficient text generation.

🚀 Quick Start

The model MaziyarPanahi/Mistral-Nemo-Instruct-2407-GGUF provides model files in GGUF format for mistralai/Mistral-Nemo-Instruct-2407.

Model Information

Property	Details
Model Type	Text Generation
Model Creator	mistralai
Original Model	mistralai/Mistral-Nemo-Instruct-2407
Quantized By	MaziyarPanahi
Tags	quantized, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, 8-bit, GGUF, text-generation

📚 Documentation

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplete list of clients and libraries that are known to support GGUF:

llama.cpp. The source project for GGUF. Offers a CLI and a server option.
llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

🤝 Special Thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

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