What are the hardware requirements for Futfut By Zephyr7b Gguf?

Futfut By Zephyr7b Gguf requires approximately 5.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Futfut By Zephyr7b Gguf and how large is it?

Futfut By Zephyr7b Gguf is developed by Dongwookss. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Futfut By Zephyr7b Gguf?

Futfut By Zephyr7b Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Futfut By Zephyr7b Gguf by Dongwookss — VRAM 5.1GB

Name: Futfut By Zephyr7b Gguf
Author: Dongwookss

Futfut By Zephyr7b Gguf is an open-source language model by Dongwookss. Features: LLM, VRAM: 5.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Base model:dongwookss/futfut b... Base model:quantized:dongwooks... Conversational Dataset:dongwookss/prac fut Dataset:dongwookss/q a korean ... Dataset:mintaeng/llm futsaldat... Endpoints compatible Gguf Ko Mistral Q5 Quantized Region:us Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Dongwookss/futfut_by_zephyr7b_gguf

Futfut By Zephyr7b Gguf Parameters and Internals

Model Type

chatbot

Use Cases

Areas:

Futsal information, Conversational AI

Applications:

Korean futsal information chatbot

Primary Use Cases:

Interactive Q&A on futsal topics

Considerations:

Conveys information in a conversational style with '해요' speech suffix.

Additional Notes

The model uses a playful theme with conversational tone adapted to futsal domain.

Supported Languages

ko (Fluent)

Training Details

Data Sources:

Dongwookss/q_a_korean_futsal, Dongwookss/prac_fut, mintaeng/llm_futsaldata_yo

Methodology:

Unsloth 패키지를 사용, SFTrainer를 사용하여 모델훈련

Hardware Used:

Colab L4 GPU

LLM Name	Futfut By Zephyr7b Gguf
Repository 🤗	https://huggingface.co/Dongwookss/futfut_by_zephyr7b_gguf
Base Model(s)	Futfut By Zephyr7b Dongwookss/futfut_by_zephyr7b
Required VRAM	5.1 GB
Updated	2026-08-25
Maintainer	Dongwookss
Model Type	mistral
Model Files	14.5 GB 5.1 GB 7.7 GB 14.5 GB 5.1 GB 7.7 GB 14.5 GB 5.1 GB 14.5 GB 5.1 GB 14.5 GB 5.1 GB 14.5 GB 5.1 GB 7.7 GB 14.5 GB 5.1 GB
Supported Languages	ko
GGUF Quantization	Yes
Quantization Type	gguf\|q5\|q5_k
Model Architecture	AutoModel
License	apache-2.0

Rank the Futfut By Zephyr7b Gguf capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than Dongwookss/futfut_by_zephyr7b_gguf.