What are the hardware requirements for Meta Llama 3 8B Instruct FP8 KV?

Meta Llama 3 8B Instruct FP8 KV requires approximately 9.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 8B Instruct FP8 KV and how large is it?

Meta Llama 3 8B Instruct FP8 KV 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 8B Instruct FP8 KV?

Meta Llama 3 8B Instruct FP8 KV is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Instruct FP8 KV by RedHatAI — VRAM 9.1GB, 8K context

Name: Meta Llama 3 8B Instruct FP8 KV
Author: RedHatAI

Meta Llama 3 8B Instruct FP8 KV is an open-source language model by RedHatAI. Features: 8b LLM, VRAM: 9.1GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.18.

Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Conversational Endpoints compatible Fp8 Instruct Llama Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Meta-Llama-3-8B-Instruct-FP8-KV

Meta Llama 3 8B Instruct FP8 KV Parameters and Internals

LLM Name	Meta Llama 3 8B Instruct FP8 KV
Repository 🤗	https://huggingface.co/RedHatAI/Meta-Llama-3-8B-Instruct-FP8-KV
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	9.1 GB
Updated	2026-08-06
Maintainer	RedHatAI
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B Instruct FP8 KV capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 8B Instruct FP8 KV

Best Alternatives	Context / RAM	Downloads	Likes
...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-3-8B-Instruct-FP8-KV.