What are the hardware requirements for EAGLE Vicuna 33B V1.3?

EAGLE Vicuna 33B V1.3 requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EAGLE Vicuna 33B V1.3 and how large is it?

EAGLE Vicuna 33B V1.3 is developed by yuhuili, a model with 33b 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 33B V1.3?

EAGLE Vicuna 33B 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 33B V1.3 by yuhuili — VRAM 3.1GB

Name: EAGLE Vicuna 33B V1.3
Author: yuhuili

EAGLE Vicuna 33B V1.3 is an open-source language model by yuhuili. Features: 33b LLM, VRAM: 3.1GB, License: apache-2.0, LLM Explorer Score: 0.1.

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

Model Card on HF 🤗: https://huggingface.co/yuhuili/EAGLE-Vicuna-33B-v1.3

EAGLE Vicuna 33B V1.3 Parameters and Internals

LLM Name	EAGLE Vicuna 33B V1.3
Repository 🤗	https://huggingface.co/yuhuili/EAGLE-Vicuna-33B-v1.3
Model Size	33b
Required VRAM	3.1 GB
Updated	2026-07-21
Maintainer	yuhuili
Model Type	llama
Model Files	3.1 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Transformers Version	4.28.0.dev0
Vocabulary Size	32000
Torch Data Type	float16

Rank the EAGLE Vicuna 33B 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 33B V1.3

Best Alternatives	Context / RAM	Downloads	Likes
Llm Jp 4 33B Thinking	64K / 66.8 GB	192	24
Llm Jp 4 33B Base	64K / 66.8 GB	89	8
Llm Jp 4 33B Thinking NVFP4	64K / 21.6 GB	79	1
Llm Jp 4 33B Thinking Nvfp4	64K / 21.5 GB	38	2
...angled Llama 33M 32K Base V0.1	32K / 0.1 GB	22	1
ReflectionCoder DS 33B	16K / 67 GB	8293	4
Deepseek Wizard 33B Slerp	16K / 35.3 GB	7	0
ValidateAI 33B Slerp	16K / 35.4 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than yuhuili/EAGLE-Vicuna-33B-v1.3.