What are the hardware requirements for Nemotron 3.5 30B A3B Antislop FTPO LoRA?

Nemotron 3.5 30B A3B Antislop FTPO LoRA requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron 3.5 30B A3B Antislop FTPO LoRA and how large is it?

Nemotron 3.5 30B A3B Antislop FTPO LoRA is developed by thoughtworks, 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 Nemotron 3.5 30B A3B Antislop FTPO LoRA?

Nemotron 3.5 30B A3B Antislop FTPO LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3.5 30B A3B Antislop FTPO LoRA by thoughtworks — VRAM 0.8GB

Name: Nemotron 3.5 30B A3B Antislop FTPO LoRA
Author: thoughtworks

Nemotron 3.5 30B A3B Antislop FTPO LoRA is an open-source language model by thoughtworks. Features: 30b LLM, VRAM: 0.8GB, License: other, LLM Explorer Score: 0.27.

Adapter Antislop Base model:adapter:nvidia/nvid... Base model:nvidia/nvidia-nemot... Conversational Creative-writing En Finetuned Ftpo Lora Nemotron Nemotron-3.5 Nvidia Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/thoughtworks/Nemotron-3.5-30B-A3B-Antislop-FTPO-LoRA

Nemotron 3.5 30B A3B Antislop FTPO LoRA Parameters and Internals

LLM Name	Nemotron 3.5 30B A3B Antislop FTPO LoRA
Repository 🤗	https://huggingface.co/thoughtworks/Nemotron-3.5-30B-A3B-Antislop-FTPO-LoRA
Base Model(s)	nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
Model Size	30b
Required VRAM	0.8 GB
Updated	2026-08-13
Maintainer	thoughtworks
Model Files	0.8 GB
Supported Languages	en
Model Architecture	Adapter
License	other
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	lm_head
LoRA Alpha	256
LoRA Dropout	0.05
R Param	256

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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

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