What are the hardware requirements for Yi 1.5 6B Tofutune Gguf?

Yi 1.5 6B Tofutune Gguf requires approximately 3.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 1.5 6B Tofutune Gguf and how large is it?

Yi 1.5 6B Tofutune Gguf is developed by simonbutt, a model with 6b parameters. 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 Yi 1.5 6B Tofutune Gguf?

Yi 1.5 6B Tofutune Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 1.5 6B Tofutune Gguf by simonbutt — VRAM 3.7GB

Name: Yi 1.5 6B Tofutune Gguf
Author: simonbutt

Yi 1.5 6B Tofutune Gguf is an open-source language model by simonbutt. Features: 6b LLM, VRAM: 3.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

4bit En Endpoints compatible Gguf Llama Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/simonbutt/yi-1.5-6b-tofutune-gguf

Yi 1.5 6B Tofutune Gguf Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, gguf

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Yi 1.5 6B Tofutune Gguf
Repository 🤗	https://huggingface.co/simonbutt/yi-1.5-6b-tofutune-gguf
Base Model(s)	unsloth/yi-1.5-6b-bnb-4bit unsloth/yi-1.5-6b-bnb-4bit
Model Size	6b
Required VRAM	3.7 GB
Updated	2026-08-08
Maintainer	simonbutt
Model Type	llama
Model Files	3.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Yi 1.5 6B Tofutune 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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Yi 1.5 6B Chat GGUF	0K / 2.3 GB	95428	9
Yi 6B 200K GGUF	0K / 2.3 GB	163	0
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Dragon Yi 6B V0 GGUF	0K / 2.6 GB	579	15
Yi 6B 200K GGUF	0K / 2.6 GB	507	28
GPT J GGML	0K / 3.4 GB	10	2
Ct2fast Codegen 6B Multi	0K / 14.1 GB	6	1
Ct2fast Codegen 6B Mono	0K / 14.1 GB	5	1
Ct2fast GPT JT 6B V0	0K / 12.1 GB	5	1
Ct2fast GPT J 6B	0K / 12.1 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than simonbutt/yi-1.5-6b-tofutune-gguf.