What are the hardware requirements for Foundation Sec 8B Reasoning?

Foundation Sec 8B Reasoning requires approximately 16.1 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 Foundation Sec 8B Reasoning and how large is it?

Foundation Sec 8B Reasoning is developed by fdtn-ai, a model with 8b 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 Foundation Sec 8B Reasoning?

Foundation Sec 8B Reasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Foundation Sec 8B Reasoning by fdtn-ai — VRAM 16.1GB, 128K context

Name: Foundation Sec 8B Reasoning
Author: fdtn-ai

Foundation Sec 8B Reasoning is an open-source language model by fdtn-ai. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: other, LLM Explorer Score: 0.25.

Arxiv:2601.21051 Base model:fdtn-ai/foundation-... Base model:finetune:fdtn-ai/fo... Conversational En Endpoints compatible Fdtn-sec Llama Region:us Safetensors Security Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Reasoning

Foundation Sec 8B Reasoning Parameters and Internals

LLM Name	Foundation Sec 8B Reasoning
Repository 🤗	https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Reasoning
Base Model(s)	Foundation Sec 8B fdtn-ai/Foundation-Sec-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-11
Maintainer	fdtn-ai
Model Type	llama
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	128276
Torch Data Type	bfloat16

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