What are the hardware requirements for Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2?

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 requires approximately 3.5 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 6B Spicyboros 3.1 4.0bpw H6 EXL2 and how large is it?

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 is developed by LoneStriker, 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 6B Spicyboros 3.1 4.0bpw H6 EXL2?

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 by LoneStriker — VRAM 3.5GB, 4K context

Name: Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2
Author: LoneStriker

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 6b LLM, VRAM: 3.5GB, Context: 4K, License: other, Quantized, Fine-Tuned, LLM Explorer Score: 0.09.

Base model:01-ai/yi-6b Base model:finetune:01-ai/yi-6... Custom code Dataset:unalignment/spicy-3.1 Exl2 Finetuned Pytorch Quantized Region:us Yi Yi-6b

Model Card on HF 🤗: https://huggingface.co/LoneStriker/Yi-6B-Spicyboros-3.1-4.0bpw-h6-exl2

Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 Parameters and Internals

Safety Evaluation

Ethical Considerations:

The model is trained using data compliance checking algorithms to ensure compliance to the best of our ability, but there is still a risk of generating problematic outputs.

LLM Name	Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/Yi-6B-Spicyboros-3.1-4.0bpw-h6-exl2
Base Model(s)	Yi 6B 01-ai/Yi-6B
Model Size	6b
Required VRAM	3.5 GB
Updated	2026-08-07
Maintainer	LoneStriker
Model Type	Yi
Model Files	3.5 GB
Quantization Type	exl2
Model Architecture	YiForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	64002
Torch Data Type	float16

Rank the Yi 6B Spicyboros 3.1 4.0bpw H6 EXL2 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 6B Spicyboros 3.1 4.0bpw H6 EXL2

Best Alternatives	Context / RAM	Downloads	Likes
...o Claude Puffin 8.0bpw H8 EXL2	195K / 6.3 GB	4	1
... Spicyboros 3.1 3.0bpw H6 EXL2	4K / 2.8 GB	3	1
Yi 6B 200K Airo Claude Puffin	195K / 12.1 GB	8	1
Yi 6B 200K GPTQ	195K / 3.9 GB	9	2
Yi 6B 200K AWQ	195K / 3.9 GB	6	2
Dragon Yi 6B V0	4K / 3.7 GB	259	60
Dragon Yi 6B V0 AWQ	4K / 3.9 GB	4	2
Yi 6B Slimorca	4K / 12.1 GB	6	1
01 Ai Yi 6B Openhermes	4K / 12.1 GB	6	4
Yi 6B AWQ	4K / 3.9 GB	22	1

Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-6B-Spicyboros-3.1-4.0bpw-h6-exl2.