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

Llava Med V1.5 Mistral 7B requires approximately 15.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llava Med V1.5 Mistral 7B and how large is it?

Llava Med V1.5 Mistral 7B is developed by microsoft, 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 Llava Med V1.5 Mistral 7B?

Llava Med V1.5 Mistral 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava Med V1.5 Mistral 7B by microsoft — VRAM 15.1GB, 32K context

Name: Llava Med V1.5 Mistral 7B
Author: microsoft

Llava Med V1.5 Mistral 7B is an open-source language model by microsoft. Features: 7b LLM, VRAM: 15.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2306.00890 Conversational Endpoints compatible Image-text-to-text Instruct Llava mistral Medical Region:us Safetensors Sharded Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/microsoft/llava-med-v1.5-mistral-7b

Llava Med V1.5 Mistral 7B Parameters and Internals

LLM Name	Llava Med V1.5 Mistral 7B
Repository 🤗	https://huggingface.co/microsoft/llava-med-v1.5-mistral-7b
Model Size	7b
Required VRAM	15.1 GB
Updated	2026-07-24
Maintainer	microsoft
Model Type	llava_mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	LlavaMistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llava Med V1.5 Mistral 7B capabilities

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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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