What are the hardware requirements for Llama 3.2 1B Instruct Bf16?

Llama 3.2 1B Instruct Bf16 requires approximately 2.5 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 Bf16 and how large is it?

Llama 3.2 1B Instruct Bf16 is developed by mlx-community, 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 Llama 3.2 1B Instruct Bf16 perform on standard benchmarks?

Llama 3.2 1B Instruct Bf16 has the following published scores: LMSYS ELO 1335. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3.2 1B Instruct Bf16 by mlx-community — VRAM 2.5GB, 128K context

Name: Llama 3.2 1B Instruct Bf16
Author: mlx-community

Llama 3.2 1B Instruct Bf16 is an open-source language model by mlx-community. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.28, ELO: 1335.

Conversational De En Endpoints compatible Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-bf16

Llama 3.2 1B Instruct Bf16 Benchmarks

LMSys ELO 1335 vs 1272 (so35) 5%

^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)

Llama 3.2 1B Instruct Bf16 Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Additional Notes

The model was converted to MLX format using mlx-lm version 0.17.1.

Supported Languages

en (proficient), de (proficient), fr (proficient), it (proficient), pt (proficient), hi (proficient), es (proficient), th (proficient)

LLM Name	Llama 3.2 1B Instruct Bf16
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-bf16
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 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.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Instruct Bf16 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

Quantized Models of the Llama 3.2 1B Instruct Bf16

Model	Likes	Downloads	VRAM
Llama 3.2 1B Instruct 4bit	20	49868	0 GB

Best Alternatives to Llama 3.2 1B Instruct Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
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	258	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0
ShaziLLM 1B	128K / 2.2 GB	186	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-1B-Instruct-bf16.