teapotllm-GGUF Open-source Model - Free Support for Multi-language Text Generation Tasks

Teapotllm GGUF

Developed by mradermacher

Quantized version of teapotllm, supporting multilingual text generation tasks

Large Language Model Supports Multiple LanguagesOpen Source License:MIT #Multilingual Text Generation #Lightweight GGUF Quantization #Transformers.js Compatibility

Downloads 931

Release Time : 1/24/2025

Model Overview

teapotllm is a multilingual text generation model based on transformers, supporting English, French, Romanian, and German. It offers multiple quantized versions to accommodate different hardware requirements.

Model Features

Multilingual Support

Supports text generation in multiple languages including English, French, Romanian, and German.

Multiple Quantized Versions

Offers 12 quantized versions from Q2_K to f16 to meet various hardware and performance needs.

Efficient Inference

Quantized versions are particularly suitable for resource-constrained environments while maintaining good generation quality.

Model Capabilities

Multilingual Text Generation

Dialogue Systems

Content Creation

Use Cases

Chat Applications

Multilingual Chatbot

Build intelligent dialogue systems that support multiple languages.

Content Generation

Multilingual Content Creation

Automatically generate marketing copy or social media content in different languages.

🚀 TeapotLLM Quantized Model

This project provides static quantizations of the TeapotLLM model. It offers various quantized versions of the model for different use - cases, along with information on usage and available quantizations.

🚀 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

Multilingual Support: Supports multiple languages including English, French, Romanian, German, and multilingual scenarios.
Multiple Quantization Types: Offers a variety of quantized versions with different sizes and qualities.

📦 Installation

No specific installation steps are provided in the original README.

📚 Documentation

Model Information

Property	Details
Base Model	teapotai/teapotllm
Datasets	teapotai/synthqa, teapotai/teapot - chat
Languages	en, fr, ro, de, multilingual
Library Name	transformers
License	mit
Quantized By	mradermacher
Tags	text2text - generation, transformers.js

About

These are static quants of TeapotLLM. Weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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	0.2
GGUF	Q3_K_S	0.2
GGUF	Q3_K_M	0.2	lower quality
GGUF	Q3_K_L	0.2
GGUF	IQ4_XS	0.2
GGUF	Q4_K_S	0.2	fast, recommended
GGUF	Q4_K_M	0.3	fast, recommended
GGUF	Q5_K_S	0.3
GGUF	Q5_K_M	0.3
GGUF	Q6_K	0.3	very good quality
GGUF	Q8_0	0.4	fast, best quality
GGUF	f16	0.6	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 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 released under the MIT license.

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