The open-source model llama3.1-8b-instruct-summarize-q4_k_m - A practical summarization tool with twice the speed improvement

Llama3.1 8b Instruct Summarize Q4 K M

Developed by raaec

A 4-bit quantized version based on Meta-Llama-3.1-8B-Instruct, trained using Unsloth and Huggingface TRL libraries, achieving 2x speed improvement.

Downloads 107

Release Time : 7/30/2024

Model Overview

This is an 8B-parameter Llama 3.1 instruction fine-tuned model with 4-bit quantization, suitable for text generation inference tasks.

Efficient Training

Trained using Unsloth and Huggingface TRL libraries, achieving 2x speed improvement

4-bit Quantization

Utilizes 4-bit quantization technology to reduce model size and memory usage

Instruction Fine-tuning

Fine-tuned for instructions, making it more suitable for text generation tasks that follow human instructions

Text Generation

Instruction Following

Natural Language Understanding

Text Generation

Content Creation

Generate articles, stories, or other creative writing content

Dialogue Systems

Build intelligent chatbots or virtual assistants

Education

Learning Assistance

Answer student questions or explain complex concepts

Property	Details
Base Model	unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Language	en
License	apache-2.0
Tags	text-generation-inference, transformers, unsloth, llama, gguf
Pipeline Tag	summarization
Developed by	raaec
Finetuned from model	unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit

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