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

Yi 1.5 6B Chat IMat GGUF requires approximately 1.4 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 IMat GGUF and how large is it?

Yi 1.5 6B Chat IMat GGUF is developed by qwp4w3hyb, 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 IMat GGUF?

Yi 1.5 6B Chat IMat 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 IMat GGUF by qwp4w3hyb — VRAM 1.4GB, 4K context

Name: Yi 1.5 6B Chat IMat GGUF
Author: qwp4w3hyb

Yi 1.5 6B Chat IMat GGUF is an open-source language model by qwp4w3hyb. Features: 6b LLM, VRAM: 1.4GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Arxiv:2403.04652 01-ai Base model:01-ai/yi-1.5-6b-cha... Base model:quantized:01-ai/yi-... Chatml Conversational Endpoints compatible Finetuned Gguf Imatrix Importance matrix Instruct Llama Q4 Quantized Region:us Yi

Model Card on HF 🤗: https://huggingface.co/qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF

Yi 1.5 6B Chat IMat GGUF Parameters and Internals

Model Type

text-generation, chat

Training Details

Data Volume:

3.6T tokens

Methodology:

Pre-trained continuously on Yi with a high-quality corpus and fine-tuned on 3M diverse fine-tuning samples

Context Length:

4096

LLM Name	Yi 1.5 6B Chat IMat GGUF
Repository 🤗	https://huggingface.co/qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF
Base Model(s)	01-ai/Yi-1.5-6B-Chat 01-ai/Yi-1.5-6B-Chat
Model Size	6b
Required VRAM	1.4 GB
Updated	2026-07-10
Maintainer	qwp4w3hyb
Model Type	llama
Model Files	12.1 GB 1.4 GB 2.2 GB 2.0 GB 1.9 GB 1.7 GB 2.8 GB 2.7 GB 2.6 GB 2.4 GB 3.5 GB 3.3 GB 3.5 GB 3.7 GB 3.5 GB 4.3 GB 4.2 GB 5.0 GB 6.4 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 1.5 6B Chat IMat 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 IMat GGUF

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NSFW 6B	8K / 11.7 GB	39460	32
HELVETE	8K / 11.7 GB	1112	39
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HelpingAI2 6B	8K / 11.7 GB	30	3
Yi 1.5 6B Chat GGUF	4K / 2.3 GB	547	3
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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
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Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF.