What are the hardware requirements for Sophea RAG Nemo3?

Sophea RAG Nemo3 requires approximately 63.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sophea RAG Nemo3 and how large is it?

Sophea RAG Nemo3 is developed by KIEFERSA, a model with 30b 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 Sophea RAG Nemo3?

Sophea RAG Nemo3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sophea RAG Nemo3 by KIEFERSA — VRAM 63.2GB, 256K context

Name: Sophea RAG Nemo3
Author: KIEFERSA

Sophea RAG Nemo3 is an open-source language model by KIEFERSA. Features: 30b LLM, VRAM: 63.2GB, Context: 256K, License: other, LLM Explorer Score: 0.24.

Abstention Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Citations Conversational Custom code El En Endpoints compatible English Greek Grounded-generation Long-context Model-index Nemotron Nemotron h Rag Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KIEFERSA/Sophea-RAG-Nemo3

Sophea RAG Nemo3 Parameters and Internals

LLM Name	Sophea RAG Nemo3
Repository 🤗	https://huggingface.co/KIEFERSA/Sophea-RAG-Nemo3
Base Model(s)	...A Nemotron 3 Nano 30B A3B BF16 nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Model Size	30b
Required VRAM	63.2 GB
Updated	2026-08-11
Maintainer	KIEFERSA
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 3.2 GB: 13-of-13
Supported Languages	el en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Sophea RAG Nemo3 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 Sophea RAG Nemo3

Best Alternatives	Context / RAM	Downloads	Likes
...on 3.5 Lightning 30B A3B NVFP4	1024K / 12.6 GB	19250	100
...30B A3B NVFP4 Global Pruned 15	1024K / 11 GB	148	19
...A Nemotron 3 Nano 30B A3B BF16	256K / 63.2 GB	1645889	752
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
Nemotron Cascade 2 30B A3B	256K / 63.2 GB	88240	518
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
...IA Nemotron 3 Nano 30B A3B FP8	256K / 32.7 GB	566152	356
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
Phonellm Alpha 1	256K / 63.2 GB	64	107
...otron 3 Nano 30B A3B Base BF16	256K / 63.2 GB	90736	127

Note: green Score (e.g. "73.2") means that the model is better than KIEFERSA/Sophea-RAG-Nemo3.