What are the hardware requirements for Llava V1.5 13B AWQ?

Llava V1.5 13B AWQ requires approximately 7.2 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 AWQ and how large is it?

Llava V1.5 13B AWQ is developed by TheBloke, 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 AWQ?

Llava V1.5 13B AWQ 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 AWQ by TheBloke — VRAM 7.2GB, 4K context

Name: Llava V1.5 13B AWQ
Author: TheBloke

Llava V1.5 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:liuhaotian/llava-v1... Base model:quantized:liuhaotia... Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/llava-v1.5-13B-AWQ

Llava V1.5 13B AWQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

research

Primary Use Cases:

Research on large multimodal models and chatbots

Considerations:

Model primarily intended for researchers and hobbyists in computer vision, NLP, ML, and AI

Training Details

Data Sources:

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 architecture

Input Output

Input Format:

{prompt}

LLM Name	Llava V1.5 13B AWQ
Repository 🤗	https://huggingface.co/TheBloke/llava-v1.5-13B-AWQ
Model Name	Llava v1.5 13B
Model Creator	Haotian Liu
Base Model(s)	liuhaotian/llava-v1.5-13b liuhaotian/llava-v1.5-13b
Model Size	13b
Required VRAM	7.2 GB
Updated	2026-08-02
Maintainer	TheBloke
Model Type	llama
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llava V1.5 13B AWQ 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 13B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K AWQ	128K / 7.2 GB	4	2
LongAlign 13B 64K AWQ	64K / 7.2 GB	4	2
...oboros L2 13B 2 1 YaRN 64K AWQ	64K / 7.2 GB	5	2
OrcaMaid V3 13B 32K AWQ	32K / 7.2 GB	5	4
OrcaMaid V2 FIX 13B 32K AWQ	32K / 7.2 GB	7	1
NexusRaven V2 13B AWQ	16K / 7.2 GB	11	3
NexusRaven V2 13B AWQ	16K / 7.2 GB	1	3
...th CodeLlama 13B Python Hf AWQ	16K / 7.5 GB	6	0
WhiteRabbitNeo 13B AWQ	16K / 7.2 GB	332	4
NexusRaven V2 13B AWQ	16K / 7.2 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/llava-v1.5-13B-AWQ.