What are the hardware requirements for Energy GPT Regulatorio 32B Safe V2?

Energy GPT Regulatorio 32B Safe V2 requires approximately 131.6 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Energy GPT Regulatorio 32B Safe V2 and how large is it?

Energy GPT Regulatorio 32B Safe V2 is developed by cemig-rl-releases, 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 Energy GPT Regulatorio 32B Safe V2?

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

Energy GPT Regulatorio 32B Safe V2 by cemig-rl-releases — VRAM 131.6GB, 40K context

Name: Energy GPT Regulatorio 32B Safe V2
Author: cemig-rl-releases

Energy GPT Regulatorio 32B Safe V2 is an open-source language model by cemig-rl-releases. Features: 32b LLM, VRAM: 131.6GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.27.

32b Base model:cemig-nlp-releases/... Base model:finetune:cemig-nlp-... Cemig Conversational Dpo Endpoints compatible Energy Finetuned Pt Qwen3 Region:us Regulatory Rlaif Safetensors Safety Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cemig-rl-releases/energy-gpt-regulatorio-32b-safe-v2

Energy GPT Regulatorio 32B Safe V2 Parameters and Internals

LLM Name	Energy GPT Regulatorio 32B Safe V2
Repository 🤗	https://huggingface.co/cemig-rl-releases/energy-gpt-regulatorio-32b-safe-v2
Base Model(s)	Energy GPT Regulatorio 32B V2 cemig-nlp-releases/energy-gpt-regulatorio-32B-v2
Model Size	32b
Required VRAM	131.6 GB
Updated	2026-08-01
Maintainer	cemig-rl-releases
Model Type	qwen3
Model Files	4.5 GB: 1-of-27 4.8 GB: 2-of-27 5.0 GB: 3-of-27 4.8 GB: 4-of-27 5.0 GB: 5-of-27 4.8 GB: 6-of-27 5.0 GB: 7-of-27 4.8 GB: 8-of-27 5.0 GB: 9-of-27 4.8 GB: 10-of-27 5.0 GB: 11-of-27 4.8 GB: 12-of-27 5.0 GB: 13-of-27 4.8 GB: 14-of-27 5.0 GB: 15-of-27 4.8 GB: 16-of-27 5.0 GB: 17-of-27 4.8 GB: 18-of-27 5.0 GB: 19-of-27 4.8 GB: 20-of-27 5.0 GB: 21-of-27 4.8 GB: 22-of-27 5.0 GB: 23-of-27 4.8 GB: 24-of-27 5.0 GB: 25-of-27 4.8 GB: 26-of-27 4.7 GB: 27-of-27 0.0 GB
Supported Languages	pt
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Energy GPT Regulatorio 32B Safe 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 Energy GPT Regulatorio 32B Safe V2

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...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	10	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	13	2
Qwen3 32B AWorld	128K / 65.8 GB	37	15
Qwen3 32B	40K / 65.8 GB	5411	15
Qwen3 32B	40K / 65.6 GB	6155624	715
OpenThinkerAgent 32B	40K / 65.8 GB	9022	9
Awakening Goedel V2 32B Sft	40K / 65.8 GB	569	0
Awakening Goedel V2 32B Rl	40K / 65.8 GB	565	0
Qwen3 Swallow 32B SFT V0.2	40K / 65.6 GB	24411	0

Note: green Score (e.g. "73.2") means that the model is better than cemig-rl-releases/energy-gpt-regulatorio-32b-safe-v2.