What are the hardware requirements for LlaMa3.2 1B Instruct?

LlaMa3.2 1B Instruct requires approximately 4.9 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 LlaMa3.2 1B Instruct and how large is it?

LlaMa3.2 1B Instruct is developed by YazoPi, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does LlaMa3.2 1B Instruct perform on standard benchmarks?

LlaMa3.2 1B Instruct has the following published scores: LMSYS ELO 1111. Compare against reference models on this page or on the LLM Explorer leaderboards.

LlaMa3.2 1B Instruct by YazoPi — VRAM 4.9GB, 128K context

Name: LlaMa3.2 1B Instruct
Author: YazoPi

LlaMa3.2 1B Instruct is an open-source language model by YazoPi. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.34, ELO: 1111.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/YazoPi/LlaMa3.2-1B-Instruct

LlaMa3.2 1B Instruct Benchmarks

LMSys ELO 1111 vs 1272 (so35) -12.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

LlaMa3.2 1B Instruct Parameters and Internals

LLM Name	LlaMa3.2 1B Instruct
Repository 🤗	https://huggingface.co/YazoPi/LlaMa3.2-1B-Instruct
Model Size	1b
Required VRAM	4.9 GB
Updated	2026-07-28
Maintainer	YazoPi
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128271

Rank the LlaMa3.2 1B Instruct 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 LlaMa3.2 1B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama3.2 1B CoT	128K / 2.5 GB	632	1
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	250	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than YazoPi/LlaMa3.2-1B-Instruct.