llava-hf/llava-1.5-7b-hf
image-text-to-text model by llava-hf
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Below is the model card of Llava model 7b, which is copied from the original Llava model card that you can find here. Check out also the Google Colab demo to run Llava on a free-tier Google Colab instance: [](https://colab.research.google.com/drive/1qsl6cd2c8gGtEW1xV5io7S8NHh-Cp1TV?usp=sharing) Or check out our Spaces demo! [](https://huggingface.co/spaces/llava-hf/llava-4bit) Model type: LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Model date: LLaVA-v1.5-7B was trained in September 2023. Paper or resources for more information: https://llava-vl.github.io/ First, make sure to have transformers >= 4.35.3. The model supports multi-image and multi-prompt generation. Meaning that you can pass multiple images in your prompt. Make sure also to follow the correct prompt template (USER: xxx\nASSISTANT:) and add the token to the location where you want to query images: Below we used "llava-hf/llava-1.5-7b-hf" checkpoint. Below is an example script to run…
Read the full model card ↗ · Preview checked 2026-10-29T14:59:34.817Z
Inside the original model card — Document outline
- LLaVA Model Card
- Model details
- How to use the model
- Using pipeline:
- Using pure transformers:
- Model optimization
- 4-bit quantization through bitsandbytes library
- Use Flash-Attention 2 to further speed-up generation
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: llama2. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
llava-hf/llava-1.5-7b-hf is a image-text-to-text model repository published by llava-hf on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 688,228
- Cumulative likes
- 383
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,063,427,072
- Architecture
- LlavaForConditionalGeneration
- License
- llama2
- Access
- Not gated by Hugging Face
- Created
- 2023-12-05T09:31:24.000Z
- Last modified
- 2025-06-06T08:42:20.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-31T06:51:08.605Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.