What are the hardware requirements for Foundation Sec 1.1 8B Instruct?

Foundation Sec 1.1 8B Instruct requires approximately 16.1 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Foundation Sec 1.1 8B Instruct and how large is it?

Foundation Sec 1.1 8B Instruct 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 1.1 8B Instruct?

Foundation Sec 1.1 8B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Foundation Sec 1.1 8B Instruct by fdtn-ai — VRAM 16.1GB, 64K context

Name: Foundation Sec 1.1 8B Instruct
Author: fdtn-ai

Foundation Sec 1.1 8B Instruct is an open-source language model by fdtn-ai. Features: 8b LLM, VRAM: 16.1GB, Context: 64K, License: other, Instruction-Based, LLM Explorer Score: 0.27.

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

Model Card on HF 🤗: https://huggingface.co/fdtn-ai/Foundation-Sec-1.1-8B-Instruct

Foundation Sec 1.1 8B Instruct Parameters and Internals

LLM Name	Foundation Sec 1.1 8B Instruct
Repository 🤗	https://huggingface.co/fdtn-ai/Foundation-Sec-1.1-8B-Instruct
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
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	128264

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Instruction Following and Task Automation
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