What are the hardware requirements for EAGLE Vicuna 7B V1.3?

EAGLE Vicuna 7B V1.3 requires approximately 1.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EAGLE Vicuna 7B V1.3 and how large is it?

EAGLE Vicuna 7B V1.3 is developed by yuhuili, 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 EAGLE Vicuna 7B V1.3?

EAGLE Vicuna 7B V1.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EAGLE Vicuna 7B V1.3 by yuhuili — VRAM 1.5GB, 2K context

Name: EAGLE Vicuna 7B V1.3
Author: yuhuili

EAGLE Vicuna 7B V1.3 is an open-source language model by yuhuili. Features: 7b LLM, VRAM: 1.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.1.

Arxiv:2401.15077 Arxiv:2406.16858 Arxiv:2503.01840 Deploy:azure Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/yuhuili/EAGLE-Vicuna-7B-v1.3

EAGLE Vicuna 7B V1.3 Parameters and Internals

LLM Name	EAGLE Vicuna 7B V1.3
Repository 🤗	https://huggingface.co/yuhuili/EAGLE-Vicuna-7B-v1.3
Model Size	7b
Required VRAM	1.5 GB
Updated	2026-07-07
Maintainer	yuhuili
Model Type	llama
Model Files	1.5 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Vocabulary Size	32000
Torch Data Type	float16

Rank the EAGLE Vicuna 7B V1.3 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 EAGLE Vicuna 7B V1.3

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124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
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2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than yuhuili/EAGLE-Vicuna-7B-v1.3.