What are the hardware requirements for Llama 3.1 8B Instruct Tensix BFP8?

Llama 3.1 8B Instruct Tensix BFP8 requires approximately 0.4 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 Llama 3.1 8B Instruct Tensix BFP8 and how large is it?

Llama 3.1 8B Instruct Tensix BFP8 is developed by Xylolabs, 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 Llama 3.1 8B Instruct Tensix BFP8?

Llama 3.1 8B Instruct Tensix BFP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct Tensix BFP8 by Xylolabs — VRAM 0.4GB, 128K context

Name: Llama 3.1 8B Instruct Tensix BFP8
Author: Xylolabs

Llama 3.1 8B Instruct Tensix BFP8 is an open-source language model by Xylolabs. Features: 8b LLM, VRAM: 0.4GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.31.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Bfloat8 b Block-floating-point Conversational De En Endpoints compatible Es Fr Hi Instruct It Llama Pt Quantized Region:us Safetensors Tensix Tenstorrent Th Tt-forge Tt-metal Ttnn

Model Card on HF 🤗: https://huggingface.co/Xylolabs/Llama-3.1-8B-Instruct-Tensix-BFP8

Llama 3.1 8B Instruct Tensix BFP8 Parameters and Internals

LLM Name	Llama 3.1 8B Instruct Tensix BFP8
Repository 🤗	https://huggingface.co/Xylolabs/Llama-3.1-8B-Instruct-Tensix-BFP8
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	0.4 GB
Updated	2026-11-13
Maintainer	Xylolabs
Model Type	llama
Instruction-Based	Yes
Model Files	1.1 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 1.1 GB
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 8B Instruct Tensix BFP8 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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