What are the hardware requirements for Llama 3.2 1B Instruct FP8 Dynamic?

Llama 3.2 1B Instruct FP8 Dynamic requires approximately 2 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 3.2 1B Instruct FP8 Dynamic and how large is it?

Llama 3.2 1B Instruct FP8 Dynamic is developed by RedHatAI, a model with 1b 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 3.2 1B Instruct FP8 Dynamic?

Llama 3.2 1B Instruct FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Instruct FP8 Dynamic by RedHatAI — VRAM 2GB, 128K context

Name: Llama 3.2 1B Instruct FP8 Dynamic
Author: RedHatAI

Llama 3.2 1B Instruct FP8 Dynamic is an open-source language model by RedHatAI. Features: 1b LLM, VRAM: 2GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.24.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors Conversational De En Es Fp8 Fr Hi Instruct It Llama Pt Region:us Safetensors Th Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic

Llama 3.2 1B Instruct FP8 Dynamic Parameters and Internals

LLM Name	Llama 3.2 1B Instruct FP8 Dynamic
Repository 🤗	https://huggingface.co/RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2 GB
Updated	2026-08-09
Maintainer	RedHatAI
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Instruct FP8 Dynamic 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 Llama 3.2 1B Instruct FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	395	2
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic.