FitMyLLM
Meta/Dense

MetaLlama-3.2-3B

The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).

chatThinkingTool UseDistilled
3.2B
Parameters
4K
Context length
13
Benchmarks
6
Quantizations
1.2M
HF downloads
Architecture
Dense
Released
2024-09-25
Layers
28
KV Heads
8
Head Dim
128
Family
llama

Quantization Options

QuantBitsVRAM @ 4KQuality
Q4_K_M4.89
2.4 GB
good
Q5_K_S5.57
2.7 GB
good
Q5_K_M5.7
2.8 GB
good
Q6_K6.56
3.1 GB
excellent
Q8_08.5
3.9 GB
lossless
FP1616
6.9 GB
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN LLAMA-3.2-3B NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (13)

Arena Elo1118
IFEval73.9
GPQA Diamond25.5
MMLU-PRO24.4
BBH24.1
BigCodeBench23.4
MATH17.7
LiveCodeBench8.3
HLE5.2
GPQA3.8
AIME3.3
MATH-5003.3
MUSR1.4

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run llama3.2:3b-text-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Quadro 5000
3 GB VRAM • 120 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro 5000 SDI
3 GB VRAM • 120 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Tesla C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA GeForce GTX 670MX
3 GB VRAM • 67 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7950
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7950 Boost
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7950 Monica BIOS 1
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7950 Monica BIOS 2
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7970
3 GB VRAM • 264 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7970 GHz Edition
3 GB VRAM • 288 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7970 X2
3 GB VRAM • 264 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 770M
3 GB VRAM • 96 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 780
3 GB VRAM • 288 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 780 Rev. 2
3 GB VRAM • 288 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 780 Ti
3 GB VRAM • 337 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7950 Mac Edition
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 7990
3 GB VRAM • 288 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 8950 OEM
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 8970 OEM
3 GB VRAM • 264 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon HD 8990 OEM
3 GB VRAM • 288 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 870M
3 GB VRAM • 120 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon R9 280
3 GB VRAM • 240 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1060 3 GB
3 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA P106-090
3 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1050 3 GB
3 GB VRAM • 84 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5300M
3 GB VRAM • 168 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5300 OEM
3 GB VRAM • 168 GB/s
AMD
AmazonNeweggeBayPCPartPicker

Find the best GPU for Llama-3.2-3B

Build Hardware for Llama-3.2-3B

Model Card

View on HuggingFace

The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).

▸ SPEC SHEET

Llama-3.2-3B — 3.2B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.2B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat
RELEASE DATE
2024-09-25
PROVIDER
Meta
FAMILY
llama
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.4 GB94%
Q5_K_S5.572.7 GB96%
Q5_K_M5.72.8 GB96%
Q6_K6.563.1 GB97%
Q8_08.53.9 GB100%
FP16166.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO24.4
MATH17.7
IFEval73.9
BBH24.1
GPQA3.8
MUSR1.4
BigCodeBench23.4
Arena Elo1118.0
LiveCodeBench8.3
AIME3.3
MATH-5003.3
GPQA Diamond25.5
HLE5.2
§ 02RUN COMMAND

Run Llama-3.2-3B locally with Ollama — needs 2.4 GB VRAM at Q4_K_M:

$ollama run llama3.2:3b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA Quadro 5000
3 GB · 120 GB/s
NVIDIA Quadro 5000 SDI
3 GB · 120 GB/s
NVIDIA Tesla C2050
3 GB · 144 GB/s
NVIDIA Tesla M2050
3 GB · 148 GB/s
NVIDIA Tesla S2050
3 GB · 148 GB/s
NVIDIA GeForce GTX 670MX
3 GB · 67 GB/s
AMD Radeon HD 7950
3 GB · 240 GB/s
AMD Radeon HD 7950 Boost
3 GB · 240 GB/s
AMD Radeon HD 7950 Monica BIOS 1
3 GB · 240 GB/s
AMD Radeon HD 7950 Monica BIOS 2
3 GB · 240 GB/s
AMD Radeon HD 7970
3 GB · 264 GB/s
AMD Radeon HD 7970 GHz Edition
3 GB · 288 GB/s
AMD Radeon HD 7970 X2
3 GB · 264 GB/s
NVIDIA GeForce GTX 770M
3 GB · 96 GB/s
NVIDIA GeForce GTX 780
3 GB · 288 GB/s