What are the hardware requirements for Llava V1.5 13B S2 Lora?

Llava V1.5 13B S2 Lora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llava V1.5 13B S2 Lora and how large is it?

Llava V1.5 13B S2 Lora is developed by bfshi, 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 S2 Lora?

Llava V1.5 13B S2 Lora 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 S2 Lora by bfshi — VRAM 0.1GB

Name: Llava V1.5 13B S2 Lora
Author: bfshi

Llava V1.5 13B S2 Lora is an open-source language model by bfshi. Features: 13b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.12.

Endpoints compatible Llava Lora Region:us

Model Card on HF 🤗: https://huggingface.co/bfshi/llava-v1.5-13b-s2-lora

Llava V1.5 13B S2 Lora Parameters and Internals

Model Type

vision

Additional Notes

Utilizes the S2-Wrapper approach to enable any vision model to perceive high-resolution images up to 1008x1008.

Training Details

Methodology:

Uses LoRA to fine-tune the model.

LLM Name	Llava V1.5 13B S2 Lora
Repository 🤗	https://huggingface.co/bfshi/llava-v1.5-13b-s2-lora
Model Size	13b
Required VRAM	0.1 GB
Updated	2026-08-08
Maintainer	bfshi
Model Files	1.0 GB 0.1 GB
Model Architecture	AutoModelForCausalLM
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|q_proj\|k_proj\|down_proj\|v_proj\|gate_proj\|o_proj
LoRA Alpha	256
LoRA Dropout	0.05
R Param	128

Rank the Llava V1.5 13B S2 Lora 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

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ALMA 13B R	0K / 26 GB	8766	82
Small Tiny V1	0K / 0.1 GB	10	0
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Llama 2 13B Chat Hf GPT 4 80K	0K / 26 GB	63	0
Llava Chart 13b Lora	0K / 0.1 GB	4	2
ChartLlama 13B	0K / 0.1 GB	11	20
Orca 2 13B Pygmalion LoRA	0K / 0.5 GB	12	2
Leyley 13B Lora	0K / 4 GB	4	4
GTS Lewd 13B V0.2	0K / 52.3 GB	4	1
Testing Orca	0K / 0.5 GB	15	1

Note: green Score (e.g. "73.2") means that the model is better than bfshi/llava-v1.5-13b-s2-lora.