STEVE-R1-7B-SFT-GGUF Open Source AI Model - Multiple Quantization Levels Adapt to Different Hardware Requirements

STEVE R1 7B SFT GGUF

Developed by mradermacher

Static quantized version of STEVE-R1-7B-SFT, supporting multiple quantization levels for different hardware requirements

Text-to-Image EnglishOpen Source License:Apache-2.0 #Multimodal Robot Control #Vision-Language Integration #7B Parameter Quantization

Downloads 203

Release Time : 3/21/2025

Model Overview

This is a quantized version based on the STEVE-R1-7B-SFT model, offering multiple quantization options from 2-bit to 16-bit, suitable for large language model applications in robotics, agents, and computer vision fields

Model Features

Multiple Quantization Options

Offers multiple quantization levels from 2-bit (Q2_K) to 16-bit (f16), meeting performance needs under different hardware conditions

Vision Supplement Module

Includes mmproj-fp16 vision supplement module, supporting computer vision tasks

Efficient Inference

Quantized version significantly reduces memory usage and computational requirements while maintaining high model performance

Model Capabilities

Multimodal Understanding

Text Generation

Vision-Language Processing

Robot Control

Agent Interaction

Use Cases

Robotics

Robot Visual Navigation

Combines visual input and language instructions to achieve intelligent navigation

Agent Development

Multimodal Dialogue System

Develops intelligent dialogue systems capable of understanding and generating text and images

🚀 STEVE-R1-7B-SFT Quantized Model

This project provides static quantizations of the STEVE-R1-7B-SFT model, which is useful in the fields of robotics, agent development, computer vision, and large language models.

🚀 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

Multi - domain Applicability: Suitable for robotics, agent, computer vision, and LLM applications.
Quantized Weights: Static quants are available, which can optimize the model's performance and resource usage.

📚 Documentation

About

Static quants of https://huggingface.co/Fanbin/STEVE-R1-7B-SFT. Weighted/imatrix quants are available at https://huggingface.co/mradermacher/STEVE-R1-7B-SFT-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	mmproj - fp16	1.5	vision supplement
GGUF	Q2_K	3.1
GGUF	Q3_K_S	3.6
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4_K_S	4.6	fast, recommended
GGUF	Q4_K_M	4.8	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	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.

📄 License

This project is licensed under the apache - 2.0 license.

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

Property	Details
Base Model	Fanbin/STEVE-R1-7B-SFT
Language	en
Library Name	transformers
License	apache - 2.0
Quantized By	mradermacher
Tags	robotics, agent, computer - vision, llm

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