Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct-GGUF Open Source Model - Free Generation of Hacker News Comment Summaries

Hacker News Comments Summarization Llama 3.1 8B Instruct GGUF

Developed by mradermacher

This is an 8B parameter model based on the Llama-3.1 architecture, specifically designed for generating summaries of Hacker News comments.

Large Language Model English#Hacker News Comment Summarization #8B Parameter Quantization #GGUF Lightweight

Downloads 334

Release Time : 3/5/2025

Model Overview

This model is a quantized version of a large language model focused on generating summaries of Hacker News discussions. It offers multiple quantization options to suit different hardware environments and performance needs.

Model Features

Multiple Quantization Options

Provides 12 different quantization levels from Q2_K to f16, catering to various performance and precision requirements.

Hacker News Specialization

Optimized specifically for generating summaries of Hacker News comment content.

Efficient Inference

The quantized version significantly reduces model size and improves inference speed, making it suitable for local deployment.

Model Capabilities

Text summary generation

Comment content understanding

Variable-length summary output

Use Cases

Content Summarization

Hacker News Discussion Summarization

Generates concise summaries of lengthy discussions on Hacker News.

Produces brief summaries that accurately reflect the key points of the discussion.

Information Extraction

Key Point Extraction from Technical Discussions

Extracts core viewpoints and conclusions from technical discussions.

Helps users quickly grasp the main points of the discussion.

🚀 Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct

This project provides static quantizations of the Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct model, offering various quantized versions for different needs.

📚 Documentation

Model Information

Property	Details
Base Model	georgeck/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct
Datasets	georgeck/hacker-news-discussion-summarization-large
Language	en
Library Name	transformers
License	llama3.1
Quantized By	mradermacher
Tags	summarization, hacker-news, hn-companion

About

Static quants of https://huggingface.co/georgeck/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct.

Weighted/imatrix quants are available at https://huggingface.co/mradermacher/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct-i1-GGUF.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	Q2_K	3.3
GGUF	Q3_K_S	3.8
GGUF	Q3_K_M	4.1	lower quality
GGUF	Q3_K_L	4.4
GGUF	IQ4_XS	4.6
GGUF	Q4_K_S	4.8	fast, recommended
GGUF	Q4_K_M	5.0	fast, recommended
GGUF	Q5_K_S	5.7
GGUF	Q5_K_M	5.8
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9.

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

📄 License

The model is under the llama3.1 license.

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