What are the hardware requirements for EVA Instruct 32B V2?

EVA Instruct 32B V2 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 Instruct 32B V2 and how large is it?

EVA Instruct 32B V2 is developed by ParasiticRogue, 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 Instruct 32B V2?

EVA Instruct 32B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EVA Instruct 32B V2 by ParasiticRogue — VRAM 65.8GB, 128K context

Name: EVA Instruct 32B V2
Author: ParasiticRogue

EVA Instruct 32B V2 is an open-source language model by ParasiticRogue. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:nbeerbower/qwen2.5-... Chat Conversational En Endpoints compatible Instruct Not-for-all-audiences Qwen2 Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-v2

EVA Instruct 32B V2 Parameters and Internals

LLM Name	EVA Instruct 32B V2
Repository 🤗	https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-v2
Base Model(s)	nbeerbower/Qwen2.5-Gutenberg-Doppel-32B EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 nbeerbower/Qwen2.5-Gutenberg-Doppel-32B EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
Merged Model	Yes
Model Size	32b
Required VRAM	65.8 GB
Updated	2025-10-01
Maintainer	ParasiticRogue
Model Type	qwen2
Instruction-Based	Yes
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
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the EVA Instruct 32B V2 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 Instruct 32B V2

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than ParasiticRogue/EVA-Instruct-32B-v2.