What are the hardware requirements for V Mllm 13B?

V Mllm 13B requires approximately 26.6 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 V Mllm 13B and how large is it?

V Mllm 13B is developed by VIM-Bench, 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 V Mllm 13B?

V Mllm 13B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

V Mllm 13B by VIM-Bench — VRAM 26.6GB, 4K context

Name: V Mllm 13B
Author: VIM-Bench

V Mllm 13B is an open-source language model by VIM-Bench. Features: 13b LLM, VRAM: 26.6GB, Context: 4K, License: llama2, LLM Explorer Score: 0.12.

Arxiv:2311.17647 Endpoints compatible Llava Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/VIM-Bench/v-mllm-13b

V Mllm 13B Parameters and Internals

Model Type

multimodal, large language model

Use Cases

Areas:

research

Training Details

Data Sources:

VIM corpus based on LVIS-Instruct4V corpus

Data Volume:

846k

LLM Name	V Mllm 13B
Repository 🤗	https://huggingface.co/VIM-Bench/v-mllm-13b
Model Size	13b
Required VRAM	26.6 GB
Updated	2026-08-01
Maintainer	VIM-Bench
Model Type	llava
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.8 GB: 3-of-3 0.0 GB
Model Architecture	LlavaLlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the V Mllm 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

Best Alternatives to V Mllm 13B

Best Alternatives	Context / RAM	Downloads	Likes
Llava V1.6 Vicuna 13B	4K / 26.7 GB	70586	61
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
Peenoblanc 52 Llava	4K / 26.7 GB	6	0
Otterchecker	4K / 26.7 GB	1	2
Llava 13B Custom	4K / 26.7 GB	5	0
...roduct Taxonomy Llava V1.6 13B	4K / 26.7 GB	7	0
Som Llava V1.5 13B	4K / 26.7 GB	12	5

Note: green Score (e.g. "73.2") means that the model is better than VIM-Bench/v-mllm-13b.