What are the hardware requirements for EVA Gutenberg3 Qwen2.5 32B?

EVA Gutenberg3 Qwen2.5 32B requires approximately 64 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EVA Gutenberg3 Qwen2.5 32B and how large is it?

EVA Gutenberg3 Qwen2.5 32B is developed by nbeerbower, a model with 32b 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 EVA Gutenberg3 Qwen2.5 32B?

EVA Gutenberg3 Qwen2.5 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EVA Gutenberg3 Qwen2.5 32B by nbeerbower — VRAM 64GB, 128K context

Name: EVA Gutenberg3 Qwen2.5 32B
Author: nbeerbower

EVA Gutenberg3 Qwen2.5 32B is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 64GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:eva-unit-01/eva-qwe... Base model:finetune:eva-unit-0... Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-... Deploy:azure Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/EVA-Gutenberg3-Qwen2.5-32B

EVA Gutenberg3 Qwen2.5 32B Parameters and Internals

LLM Name	EVA Gutenberg3 Qwen2.5 32B
Repository 🤗	https://huggingface.co/nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
Base Model(s)	EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
Model Size	32b
Required VRAM	64 GB
Updated	2026-07-30
Maintainer	nbeerbower
Model Type	qwen2
Model Files	2.0 GB: 1-of-34 1.9 GB: 2-of-34 1.9 GB: 3-of-34 1.9 GB: 4-of-34 1.9 GB: 5-of-34 1.9 GB: 6-of-34 1.9 GB: 7-of-34 1.9 GB: 8-of-34 1.9 GB: 9-of-34 1.9 GB: 10-of-34 1.9 GB: 11-of-34 1.9 GB: 12-of-34 1.9 GB: 13-of-34 1.9 GB: 14-of-34 1.9 GB: 15-of-34 1.9 GB: 16-of-34 1.9 GB: 17-of-34 1.9 GB: 18-of-34 1.9 GB: 19-of-34 1.9 GB: 20-of-34 1.9 GB: 21-of-34 1.9 GB: 22-of-34 1.9 GB: 23-of-34 1.9 GB: 24-of-34 1.9 GB: 25-of-34 1.9 GB: 26-of-34 1.9 GB: 27-of-34 1.9 GB: 28-of-34 1.9 GB: 29-of-34 1.9 GB: 30-of-34 1.9 GB: 31-of-34 1.9 GB: 32-of-34 1.5 GB: 33-of-34 1.6 GB: 34-of-34
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the EVA Gutenberg3 Qwen2.5 32B 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

Best Alternatives to EVA Gutenberg3 Qwen2.5 32B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/EVA-Gutenberg3-Qwen2.5-32B.