What are the hardware requirements for Llava V1.5 13B 4GB 8bit?

Llava V1.5 13B 4GB 8bit requires approximately 14.1 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 Llava V1.5 13B 4GB 8bit and how large is it?

Llava V1.5 13B 4GB 8bit is developed by 4bit, a model with 13b 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 Llava V1.5 13B 4GB 8bit?

Llava V1.5 13B 4GB 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava V1.5 13B 4GB 8bit by 4bit — VRAM 14.1GB, 4K context

Name: Llava V1.5 13B 4GB 8bit
Author: 4bit

Llava V1.5 13B 4GB 8bit is an open-source language model by 4bit. Features: 13b LLM, VRAM: 14.1GB, Context: 4K, Quantized, LLM Explorer Score: 0.09.

8-bit 8bit Bitsandbytes Endpoints compatible Llava Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/4bit/llava-v1.5-13b-4GB-8bit

Llava V1.5 13B 4GB 8bit Parameters and Internals

LLM Name	Llava V1.5 13B 4GB 8bit
Repository 🤗	https://huggingface.co/4bit/llava-v1.5-13b-4GB-8bit
Model Size	13b
Required VRAM	14.1 GB
Updated	2026-08-25
Maintainer	4bit
Model Type	llava
Model Files	4.0 GB: 1-of-4 4.0 GB: 2-of-4 4.0 GB: 3-of-4 2.1 GB: 4-of-4
Quantization Type	8bit
Model Architecture	LlavaLlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llava V1.5 13B 4GB 8bit capabilities

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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 Llava V1.5 13B 4GB 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Llava V1.5 13B EXL2	4K / 13.2 GB	11	1
Llava 13B V1.1 4bit 128g	2K / 7.5 GB	2	2
Llava V1.6 Vicuna 13B	4K / 26.7 GB	70586	61
Llava V1.5 13B	4K / 26 GB	16330	528
Evalalign V1.0 13B	4K / 26.7 GB	3	1
Table Llava V1.5 13B	4K / 26.6 GB	2	1
Posterllava V0	4K / 26.6 GB	1298	7
Peenoblanc 52 Llava	4K / 26.7 GB	6	0
Otterchecker	4K / 26.7 GB	1	2
Llava 13B Custom	4K / 26.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than 4bit/llava-v1.5-13b-4GB-8bit.