What are the hardware requirements for Som Llava V1.5 7B?

Som Llava V1.5 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 Som Llava V1.5 7B and how large is it?

Som Llava V1.5 7B is developed by zzxslp, 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 Som Llava V1.5 7B?

Som Llava V1.5 7B 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 7B by zzxslp — VRAM 14.1GB, 4K context

Name: Som Llava V1.5 7B
Author: zzxslp

Som Llava V1.5 7B is an open-source language model by zzxslp. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, LLM Explorer Score: 0.13.

Endpoints compatible Llava llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zzxslp/som-llava-v1.5-7b

Som Llava V1.5 7B Parameters and Internals

LLM Name	Som Llava V1.5 7B
Repository 🤗	https://huggingface.co/zzxslp/som-llava-v1.5-7b
Model Size	7b
Required VRAM	14.1 GB
Updated	2026-08-05
Maintainer	zzxslp
Model Type	llava_llama
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 Som Llava V1.5 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

Best Alternatives to Som Llava V1.5 7B

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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
Llava V1.6 Vicuna 7B	4K / 14.1 GB	19939	144
...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
...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 zzxslp/som-llava-v1.5-7b.