---
title: "Eagle"
type: "tool"
slug: "nvlabs-eagle"
canonical_url: "https://www.graphcanon.com/tools/nvlabs-eagle"
github_url: "https://github.com/NVlabs/Eagle"
homepage_url: "https://nvlabs.github.io/Eagle/"
stars: 3159
forks: 301
primary_language: "Python"
license: "Apache-2.0"
archived: false
categories: ["computer-vision", "llm-frameworks", "model-training"]
tags: ["demo", "eagle", "gpt4", "huggingface", "large-language-models", "llama", "llama3", "llava"]
updated_at: "2026-07-12T08:54:25.714912+00:00"
---

# Eagle

> Eagle: Frontier Vision-Language Models with Data-Centric Strategies

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

## Facts

- Repository: https://github.com/NVlabs/Eagle
- Homepage: https://nvlabs.github.io/Eagle/
- Stars: 3,159 · Forks: 301 · Open issues: 57 · Watchers: 37
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-06-24T18:12:11+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Active (computed 2026-07-11T11:06:31.813Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:06:32.491Z
- Full report: [trust report](/tools/nvlabs-eagle/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/nvlabs-eagle/trust)

## Categories

- [Computer Vision](/categories/computer-vision.md)
- [LLM Frameworks](/categories/llm-frameworks.md)
- [Model Training](/categories/model-training.md)

## Tags

demo, eagle, gpt4, huggingface, large-language-models, llama, llama3, llava

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [RAG_Techniques](/tools/nirdiamant-rag-techniques.md) - Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials. (★ 28,465) [Active]
- [Awesome-Multimodal-Large-Language-Models](/tools/bradyfu-awesome-multimodal-large-language-models.md) - Latest Advances on Multimodal Large Language Models (★ 17,937) [Active]
- [litgpt](/tools/lightning-ai-litgpt.md) - High-performance LLMs with recipes for pretraining, finetuning and deployment (★ 13,473) [Very active]
- [awesome-generative-ai](/tools/steven2358-awesome-generative-ai.md) - A curated list of modern Generative Artificial Intelligence projects and services (★ 12,279) [Active]
- [oumi](/tools/oumi-ai-oumi.md) - Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM! (★ 9,338) [Very active]
- [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) - Summary of the world's best LLM resources. (★ 8,668) [Very active]

_+ 2 more not listed._

## README (excerpt)

_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._

```text
## License/Terms of Use
- The code is released under the Apache 2.0 license as found in the [LICENSE](./LICENSE) file. Portions of the code in this repo are reused and subject to their original licenses. Some files have been modified, with appropriate attribution and additional license headers added where applicable.
- The pretrained model weights are released under either the [CC BY-NC 4.0 License](https://creativecommons.org/licenses/by-nc/4.0/deed.en) or the [NVIDIA License](./Eagle2_5/LICENSE_MODEL). The models are research preview intended for non-commercial use only.
- Eagle models are improved using Qwen.
- For code contributions to Eagle, please refer to the [Contribution Guide](CONTRIBUTING.md).
- Users are reminded to ensure that their use of the dataset and model weights is in compliance with all applicable laws and regulations.
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/nvlabs-eagle`](/api/graphcanon/tools/nvlabs-eagle)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_