What are the hardware requirements for Yi 1.5 6B Chat GGUF?

Yi 1.5 6B Chat GGUF requires approximately 2.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 1.5 6B Chat GGUF and how large is it?

Yi 1.5 6B Chat GGUF is developed by gaianet, 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 Chat GGUF?

Yi 1.5 6B Chat 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 Chat GGUF by gaianet — VRAM 2.3GB, 4K context

Name: Yi 1.5 6B Chat GGUF
Author: gaianet

Yi 1.5 6B Chat GGUF is an open-source language model by gaianet. Features: 6b LLM, VRAM: 2.3GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.12.

Base model:01-ai/yi-1.5-6b-cha... Base model:quantized:01-ai/yi-... Conversational Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/gaianet/Yi-1.5-6B-Chat-GGUF

Yi 1.5 6B Chat GGUF Parameters and Internals

Model Type

Additional Notes

Quantized with llama.cpp b3135

Input Output

Input Format:

chatml

LLM Name	Yi 1.5 6B Chat GGUF
Repository 🤗	https://huggingface.co/gaianet/Yi-1.5-6B-Chat-GGUF
Model Name	Yi-1.5-6B-Chat
Model Creator	01-ai
Base Model(s)	01-ai/Yi-1.5-6B-Chat 01-ai/Yi-1.5-6B-Chat
Model Size	6b
Required VRAM	2.3 GB
Updated	2026-05-02
Maintainer	gaianet
Model Type	llama
Model Files	2.3 GB 3.2 GB 3.0 GB 2.7 GB 3.5 GB 3.7 GB 3.5 GB 4.2 GB 4.3 GB 4.2 GB 5.0 GB 6.4 GB 12.1 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 1.5 6B Chat 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

Best Alternatives to Yi 1.5 6B Chat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
NSFW 6B	8K / 11.7 GB	39460	32
HELVETE	8K / 11.7 GB	1112	39
HelpingAI2 6B	8K / 11.7 GB	221	5
HelpingAI2 6B	8K / 11.7 GB	30	3
Yi 1.5 6B Chat GGUF	4K / 2.3 GB	547	3
Yi 1.5 6B Chat IMat GGUF	4K / 1.4 GB	42	0
Yi 6B Chat GGUF	4K / 2.3 GB	229	0
...i 6B 200K AEZAKMI V2 6bpw EXL2	195K / 4.9 GB	7	3
Yi 6B 200K 8.0bpw H8 EXL2	195K / 6.3 GB	11	1
Yi 6B 200K 6.0bpw H6 EXL2	195K / 4.9 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than gaianet/Yi-1.5-6B-Chat-GGUF.