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

Llama 3.2 1B Instruct FP8 Block requires approximately 1.5 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 Block and how large is it?

Llama 3.2 1B Instruct FP8 Block is developed by unsloth, 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 Block?

Llama 3.2 1B Instruct FP8 Block 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 Block by unsloth — VRAM 1.5GB, 128K context

Name: Llama 3.2 1B Instruct FP8 Block
Author: unsloth

Llama 3.2 1B Instruct FP8 Block is an open-source language model by unsloth. Features: 1b LLM, VRAM: 1.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.22.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors Conversational En Endpoints compatible Facebook Instruct Llama Llama-3 Meta Region:us Safetensors Unsloth

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

Llama 3.2 1B Instruct FP8 Block Parameters and Internals

LLM Name	Llama 3.2 1B Instruct FP8 Block
Repository 🤗	https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-FP8-Block
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	1.5 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	1.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256

Rank the Llama 3.2 1B Instruct FP8 Block 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 Block

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 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	395	2
...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 unsloth/Llama-3.2-1B-Instruct-FP8-Block.