lzlv-limarpv3-l2-70b-GGUF Open Source Model - Multiple Quantization Options Meet Different Practical Needs

Lzlv Limarpv3 L2 70b GGUF

Developed by mradermacher

This is a static quantization version of the Doctor-Shotgun/lzlv-limarpv3-l2-70b model, offering multiple quantization options to suit different needs.

Large Language Model English#70B large model #GGUF quantization #English text generation

Downloads 67

Release Time : 2/5/2024

Model Overview

This model is a large language model based on the Llama 2 architecture, primarily used for text generation tasks and supports English.

Model Features

Multiple quantization versions

Offers various quantization versions from Q2_K to Q8_0 to accommodate different hardware and performance requirements.

High-quality quantization

IQ quantization versions generally outperform non-IQ quantization versions of similar sizes, providing better performance.

Fast inference

Q4_K_S and Q4_K_M versions are recommended as fast and efficient options.

Model Capabilities

Text generation

English language processing

Use Cases

Text generation

Content creation

Generate articles, stories, or other textual content.

Dialogue systems

Used for building English chatbots.

🚀 LZLV-LIMARPV3-L2-70B Quantized Model

This project provides static quantizations of the LZLV-LIMARPV3-L2-70B model, offering various quantization types for different needs.

🚀 Quick Start

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.

✨ Features

Static quants of Doctor-Shotgun/lzlv-limarpv3-l2-70b are provided.
Multiple quantization types are available, sorted by size.

📚 Documentation

About

Static quants of https://huggingface.co/Doctor-Shotgun/lzlv-limarpv3-l2-70b

Weighted/imatrix quants are available at https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF

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	25.6
GGUF	Q3_K_XS	28.4
GGUF	IQ3_XS	28.4
GGUF	Q3_K_S	30.0
GGUF	IQ3_S	30.0	beats Q3_K*
GGUF	IQ3_M	31.0
GGUF	Q3_K_M	33.4	lower quality
GGUF	Q3_K_L	36.2
GGUF	IQ4_XS	37.3
GGUF	Q4_K_S	39.3	fast, recommended
GGUF	Q4_K_M	41.5	fast, recommended
GGUF	Q5_K_S	47.6
GGUF	Q5_K_M	48.9
PART 1 PART 2	Q6_K	56.7	very good quality
PART 1 PART 2	Q8_0	73.4	fast, best quality

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.

Information Table

Property	Details
Base Model	Doctor - Shotgun/lzlv - limarpv3 - l2 - 70b
Language	en
Library Name	transformers
Pipeline Tag	text - generation
Quantized By	mradermacher
Tags	llama, llama 2

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