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

Som Llava V1.5 13B requires approximately 26.7 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 Som Llava V1.5 13B and how large is it?

Som Llava V1.5 13B is developed by zzxslp, 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 Som Llava V1.5 13B?

Som Llava V1.5 13B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Som Llava V1.5 13B by zzxslp — VRAM 26.7GB, 4K context

Name: Som Llava V1.5 13B
Author: zzxslp

Som Llava V1.5 13B is an open-source language model by zzxslp. Features: 13b LLM, VRAM: 26.7GB, Context: 4K, LLM Explorer Score: 0.12.

Arxiv:2404.16375 Endpoints compatible Llava llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zzxslp/som-llava-v1.5-13b

Som Llava V1.5 13B Parameters and Internals

Model Type

multimodal

Use Cases

Primary Use Cases:

understanding tag-style visual prompts, improved performance on MLLM benchmarks

LLM Name	Som Llava V1.5 13B
Repository 🤗	https://huggingface.co/zzxslp/som-llava-v1.5-13b
Model Size	13b
Required VRAM	26.7 GB
Updated	2026-08-05
Maintainer	zzxslp
Model Type	llava_llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 1.9 GB: 6-of-6 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 Som Llava V1.5 13B 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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Llava V1.5 13B	4K / 26 GB	16330	528
Evalalign V1.0 13B	4K / 26.7 GB	3	1
Table Llava V1.5 13B	4K / 26.6 GB	2	1
Posterllava V0	4K / 26.6 GB	1298	7
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Otterchecker	4K / 26.7 GB	1	2
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V Mllm 13B	4K / 26.6 GB	7	1
...roduct Taxonomy Llava V1.6 13B	4K / 26.7 GB	7	0

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