What are the hardware requirements for Llava V1.5 7B?

Llava V1.5 7B requires approximately 13.5 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 Llava V1.5 7B and how large is it?

Llava V1.5 7B is developed by liuhaotian, a model with 7b 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 7B?

Llava V1.5 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava V1.5 7B by liuhaotian — VRAM 13.5GB, 4K context

Name: Llava V1.5 7B
Author: liuhaotian

Llava V1.5 7B is an open-source language model by liuhaotian. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.19.

Image-text-to-text Llava Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/liuhaotian/llava-v1.5-7b

Llava V1.5 7B Benchmarks

LLME Score: 0.19106

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llava V1.5 7B (liuhaotian/llava-v1.5-7b)

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Llava V1.5 7B Parameters and Internals

Model Type

multimodal, chatbot, transformer, auto-regressive

Use Cases

Primary Use Cases:

Research on large multimodal models and chatbots

Training Details

Data Sources:

LAION/CC/SBU (558K filtered image-text pairs), 158K GPT-generated multimodal instruction-following data, 450K academic-task-oriented VQA data mixture, 40K ShareGPT data

Methodology:

Fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data

Model Architecture:

Transformer

LLM Name	Llava V1.5 7B
Repository 🤗	https://huggingface.co/liuhaotian/llava-v1.5-7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-05-03
Maintainer	liuhaotian
Model Type	llava
Model Files	0.0 GB 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlavaLlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the Llava V1.5 7B

Model	Likes	Downloads	VRAM
Llava V1.5 7B GGUF	18	3655	0 GB

Best Alternatives to Llava V1.5 7B

Best Alternatives	Context / RAM	Downloads	Likes
Llava Merged Finetuned 7b	32K / 15.1 GB	4	1
Llava V1.6 Mistral 7B PATCHED	32K / 15.1 GB	17	8
KoLLaVA V1.5 Synatra 7B	32K / 15.1 GB	27	8
Llava V1.6 Vicuna 7B	4K / 14.1 GB	30692	144
Quilt Llava V1.5 7B	4K / 14.2 GB	38642	9
LLaVA NeXT Video 7B DPO	4K / 14.2 GB	1294	29
LLaVA NeXT Video 7B	4K / 14.1 GB	890	51
...va 1.5 Image Classification V3	4K / 23.3 GB	152	0
Table Llava V1.5 7B	4K / 14.2 GB	27	13
Vlm Rlaif Video Llava 7b	4K / 14.2 GB	13	0

Rank the Llava V1.5 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Llava V1.5 7B by liuhaotian