👁 TinyLlama
TinyLlama
TinyLlama 1.1B
Legacy
2.2MDownloads1.6KLikesDec 2023Released4K tokensContextApache 2.0License30 BasicQuality
TinyLlama 1.1B (1.100000023841858B parameters) requires approximately 2.8 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 TinyLlama 1.1B on your machine.
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ollama run tinyllamaQuick specs
Parameters1.1B
Architecturedense
Context4K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyTinyLlama
✓ Chat
About this model
Your hardware
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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 | 0.7 GB | Medium | — |
Q5_K_M | 5 | 0.8 GB | High | — |
Q6_K | 6 | 0.9 GB | High | — |
Q8_0 | 8 | 1.2 GB | Very High | — |
F16 | 16 | 2.3 GB | Maximum | — |
Quality benchmarks
TinyLlama 1.1B benchmark scores
Reasoning
MMLU-Pro1.1%
GPQA Diamond—
MATH-5001.5%
ARC Challenge33.9%
General
Chatbot Arena—
IFEval6.0%
Source: community · 2024-01-08
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.7 GB
KV Cache0.3 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — TinyLlama 1.1B
See also