What are the hardware requirements for Meta Llama 3.1 8B Instruct Quantized.w8a16?

Meta Llama 3.1 8B Instruct Quantized.w8a16 requires approximately 9.1 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 Meta Llama 3.1 8B Instruct Quantized.w8a16 and how large is it?

Meta Llama 3.1 8B Instruct Quantized.w8a16 is developed by RedHatAI, 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 Meta Llama 3.1 8B Instruct Quantized.w8a16?

Meta Llama 3.1 8B Instruct Quantized.w8a16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 8B Instruct Quantized.w8a16 by RedHatAI — VRAM 9.1GB, 128K context

Name: Meta Llama 3.1 8B Instruct Quantized.w8a16
Author: RedHatAI

Meta Llama 3.1 8B Instruct Quantized.w8a16 is an open-source language model by RedHatAI. Features: 8b LLM, VRAM: 9.1GB, Context: 128K, License: meta, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2210.17323 Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors Conversational De En Endpoints compatible Es Fr Hi Instruct Int8 It Llama Pt Region:us Safetensors Sharded Tensorflow Th Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a16

Meta Llama 3.1 8B Instruct Quantized.w8a16 Parameters and Internals

LLM Name	Meta Llama 3.1 8B Instruct Quantized.w8a16
Repository 🤗	https://huggingface.co/RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a16
Base Model(s)	meta-llama/Meta-Llama-3.1-8B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	9.1 GB
Updated	2026-08-07
Maintainer	RedHatAI
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 8B Instruct Quantized.w8a16 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

Best Alternatives to Meta Llama 3.1 8B Instruct Quantized.w8a16

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a16.