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Llama 3.2 1B
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8.4MDownloads1.5KLikesSep 2024Released128K tokensContextCommunityLicense14 EntryQuality
Llama 3.2 1B (1B parameters) requires approximately 2.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Llama 3.2 1B on your machine.
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ollama run llama3.2:1bQuick specs
Parameters1B
Architecturedense
Context128K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.6 GB (Q4_K_M)
LicenseCommunity
FamilyLlama
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About this model
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | — |
Q3_K_S | 3 | 0.5 GB | Low | — |
NVFP4 | 4 | 0.6 GB | Medium | — |
Q4_K_M | 4 | 0.6 GB | Medium | — |
Q5_K_M | 5 | 0.7 GB | High | — |
Q6_K | 6 | 0.8 GB | High | — |
Q8_0 | 8 | 1.1 GB | Very High | — |
F16 | 16 | 2.1 GB | Maximum | — |
Quality benchmarks
Llama 3.2 1B benchmark scores
Reasoning
MMLU-Pro7.6%
GPQA Diamond27.2%
MATH-50030.6%
ARC Challenge59.4%
General
Chatbot Arena—
IFEval59.5%
Source: official · 2024-09-25
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.6 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Llama 3.2 1B
See also