What are the hardware requirements for EVA Gutenberg Rombos Slerp Qwen2.5 32B?

EVA Gutenberg Rombos Slerp Qwen2.5 32B requires approximately 65.8 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 Gutenberg Rombos Slerp Qwen2.5 32B and how large is it?

EVA Gutenberg Rombos Slerp 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 Gutenberg Rombos Slerp Qwen2.5 32B?

EVA Gutenberg Rombos Slerp 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 Gutenberg Rombos Slerp Qwen2.5 32B by nbeerbower — VRAM 65.8GB, 128K context

Name: EVA Gutenberg Rombos Slerp Qwen2.5 32B
Author: nbeerbower

EVA Gutenberg Rombos Slerp Qwen2.5 32B is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:nbeerbower/eva-gute... Base model:nbeerbower/rombos-q... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

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

EVA Gutenberg Rombos Slerp Qwen2.5 32B Parameters and Internals

LLM Name	EVA Gutenberg Rombos Slerp Qwen2.5 32B
Repository 🤗	https://huggingface.co/nbeerbower/EVA-Gutenberg-Rombos-slerp-Qwen2.5-32B
Base Model(s)	nbeerbower/EVA-Gutenberg3-Qwen2.5-32B nbeerbower/Rombos-Qwen2.5-32B-lorablated nbeerbower/EVA-Gutenberg3-Qwen2.5-32B nbeerbower/Rombos-Qwen2.5-32B-lorablated
Merged Model	Yes
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-26
Maintainer	nbeerbower
Model Type	qwen2
Model Files	5.0 GB: 1-of-14 5.0 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 1.9 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the EVA Gutenberg Rombos Slerp Qwen2.5 32B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

Best Alternatives to EVA Gutenberg Rombos Slerp 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-Gutenberg-Rombos-slerp-Qwen2.5-32B.