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

Llava V1.5 7B GGUF requires approximately 0.6 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 GGUF and how large is it?

Llava V1.5 7B GGUF is developed by second-state, 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 GGUF?

Llava V1.5 7B GGUF 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 GGUF by second-state — VRAM 0.6GB, 4K context

Name: Llava V1.5 7B GGUF
Author: second-state

Llava V1.5 7B GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 0.6GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.13.

Base model:liuhaotian/llava-v1... Base model:quantized:liuhaotia... Gguf Llava Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Llava-v1.5-7B-GGUF

Llava V1.5 7B GGUF Parameters and Internals

LLM Name	Llava V1.5 7B GGUF
Repository 🤗	https://huggingface.co/second-state/Llava-v1.5-7B-GGUF
Model Name	Llava v1.5 7B
Model Creator	liuhaotian
Base Model(s)	liuhaotian/llava-v1.5-7b liuhaotian/llava-v1.5-7b
Model Size	7b
Required VRAM	0.6 GB
Updated	2026-08-03
Maintainer	second-state
Model Type	llava
Model Files	2.5 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB 0.6 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlavaLlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llava V1.5 7B 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 Llava V1.5 7B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Ollama Video Llama 7B	4K / 15 GB	899	1
Llava V1.6 Vicuna 7B GGUF	4K / 0.6 GB	738	4
Llava Ar Pretrain Cc3 595k	2K / 13.5 GB	815	0
Llava Merged Finetuned 7b	32K / 15.1 GB	1	1
Llava 1.6 Gptq 8bit	32K / 9.6 GB	5	0
Llava 1.6 Gptq 4bit	32K / 6 GB	6	1
Llava V1.6 Mistral 7B PATCHED	32K / 15.1 GB	17	8
KoLLaVA V1.5 Synatra 7B	32K / 15.1 GB	13	8
Llava V1.5 7B	4K / 13.5 GB	219094	557
Llava V1.6 Vicuna 7B	4K / 14.1 GB	19939	144

Note: green Score (e.g. "73.2") means that the model is better than second-state/Llava-v1.5-7B-GGUF.