What are the hardware requirements for Nemotron3 Nano 4B 8K Grpo Hardyman S300?

Nemotron3 Nano 4B 8K Grpo Hardyman S300 requires approximately 15.9 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 Nemotron3 Nano 4B 8K Grpo Hardyman S300 and how large is it?

Nemotron3 Nano 4B 8K Grpo Hardyman S300 is developed by budget-internalization-iclr2027, a model with 4b 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 Nemotron3 Nano 4B 8K Grpo Hardyman S300?

Nemotron3 Nano 4B 8K Grpo Hardyman S300 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron3 Nano 4B 8K Grpo Hardyman S300 by budget-internalization-iclr2027 — VRAM 15.9GB, 256K context

Name: Nemotron3 Nano 4B 8K Grpo Hardyman S300
Author: budget-internalization-iclr2027

Nemotron3 Nano 4B 8K Grpo Hardyman S300 is an open-source language model by budget-internalization-iclr2027. Features: 4b LLM, VRAM: 15.9GB, Context: 256K, License: other, LLM Explorer Score: 0.27.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code Dataset:agentica-org/deepscale... Endpoints compatible Ext 8k Grpo Math Nemotron h Reasoning Region:us Safetensors Sharded Tensorflow Token-budget

Model Card on HF 🤗: https://huggingface.co/budget-internalization-iclr2027/nemotron3-nano-4b-8k-grpo-hardyman-s300

Nemotron3 Nano 4B 8K Grpo Hardyman S300 Parameters and Internals

LLM Name	Nemotron3 Nano 4B 8K Grpo Hardyman S300
Repository 🤗	https://huggingface.co/budget-internalization-iclr2027/nemotron3-nano-4b-8k-grpo-hardyman-s300
Base Model(s)	NVIDIA Nemotron 3 Nano 4B BF16 nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
Model Size	4b
Required VRAM	15.9 GB
Updated	2026-09-26
Maintainer	budget-internalization-iclr2027
Model Type	nemotron_h
Model Files	15.9 GB: 1-of-1
Context Length	8k
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072

Rank the Nemotron3 Nano 4B 8K Grpo Hardyman S300 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
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Multi-Language Support and Translation

Best Alternatives to Nemotron3 Nano 4B 8K Grpo Hardyman S300

Best Alternatives	Context / RAM	Downloads	Likes
Lumi 4B	256K / 8 GB	3448	68
Lumi 4B	256K / 8 GB	191	19
...oppen Gen4k Ep2 Ncp5 N3nc Vs16	256K / 8 GB	2477	1
...ppen Gen4k Ep2 Ncp5 N3nc Iid16	256K / 8 GB	2447	1
...oppen Gen4k Ep2 Ncp5 N3nc Base	256K / 8 GB	2231	1
NVIDIA Nemotron 3 Nano 4B FP8	256K / 5.3 GB	83285	27
H2o Lightning 4B Nemotron Nano	256K / 8 GB	279	3
NVIDIA Nemotron 3 Nano 4B	256K / 8 GB	4851	16
NVIDIA Nemotron 3 Nano 4B FP8	256K / 10.6 GB	343	5
NVIDIA Nemotron 3 Nano 4B BF16	256K / 7.9 GB	131	2

Note: green Score (e.g. "73.2") means that the model is better than budget-internalization-iclr2027/nemotron3-nano-4b-8k-grpo-hardyman-s300.