What are the hardware requirements for Llava V1.6 Vicuna 7B?

Llava V1.6 Vicuna 7B 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 V1.6 Vicuna 7B and how large is it?

Llava V1.6 Vicuna 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 V1.6 Vicuna 7B?

Llava V1.6 Vicuna 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava V1.6 Vicuna 7B by liuhaotian — VRAM 14.1GB, 4K context

Name: Llava V1.6 Vicuna 7B
Author: liuhaotian

Llava V1.6 Vicuna 7B is an open-source language model by liuhaotian. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, LLM Explorer Score: 0.16.

Image-text-to-text Llava Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/liuhaotian/llava-v1.6-vicuna-7b

Llava V1.6 Vicuna 7B Parameters and Internals

Model Type

multimodal, chatbot, auto-regressive, language model

Use Cases

Areas:

research on large multimodal models and chatbots

Primary Use Cases:

research on large multimodal models and chatbots

Training Details

Data Sources:

558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP, 158K GPT-generated multimodal instruction-following data, 500K academic-task-oriented VQA data mixture, 50K GPT-4V data mixture, 40K ShareGPT data

Methodology:

fine-tuning LLM on multimodal instruction-following data

Model Architecture:

transformer architecture

LLM Name	Llava V1.6 Vicuna 7B
Repository 🤗	https://huggingface.co/liuhaotian/llava-v1.6-vicuna-7b
Model Size	7b
Required VRAM	14.1 GB
Updated	2026-08-06
Maintainer	liuhaotian
Model Type	llava
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.2 GB: 3-of-3 0.0 GB
Model Architecture	LlavaLlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llava V1.6 Vicuna 7B 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

Quantized Models of the Llava V1.6 Vicuna 7B

Model	Likes	Downloads	VRAM
Llava V1.6 Vicuna 7B GGUF	4	738	0 GB

Best Alternatives to Llava V1.6 Vicuna 7B

Best Alternatives	Context / RAM	Downloads	Likes
Llava Merged Finetuned 7b	32K / 15.1 GB	1	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
...va 1.5 Image Classification V3	4K / 23.3 GB	224	0
Vlm Rlaif Video Llava 7b	4K / 14.2 GB	6	0
Table Llava V1.5 7B	4K / 14.2 GB	9	13
Llava V1.5 7B M3	4K / 14.1 GB	93	2
Som Llava V1.5 7B	4K / 14.1 GB	5	0
...or Llava V1.5 Plus Houou V3 7B	4K / 14.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than liuhaotian/llava-v1.6-vicuna-7b.