Text model · TinyLlama
TLTinyLlama 1.1B requirements
TinyLlama family · 1.1B params · released 2024-01-04 · 3.8M Ollama pulls. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 0.5 GB est |
| Q3_K_M | 0.5 GB est |
| Q4_K_M (default) | 0.669 GB |
| Q5_K_M | 0.8 GB est |
| Q6_K | 0.9 GB est |
| Q8_0 | 1.17 GB |
| FP16 | 2.2 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run tinyllama:1.1b llama-cli -hf TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M lms get TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF Which devices can run TinyLlama 1.1B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does TinyLlama 1.1B need?
At Q4_K_M, TinyLlama 1.1B needs about 1.8 GB (weights ~0.669 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~2.3 GB.
Can TinyLlama 1.1B run on a laptop?
Yes, TinyLlama 1.1B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use TinyLlama 1.1B commercially?
Yes. TinyLlama 1.1B is licensed Apache-2.0, which permits commercial use.
Community classic 1.1B model pretrained on 3T tokens using Llama-2 architecture. 2048 token context. Very small GGUF footprint (669MB Q4_K_M). Good baseline for edge benchmarking.
Sources
Memory figures are estimates. See methodology.