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TinyLlama1.1B params2k contextpopular

TinyLlama 1.1B locally

TinyLlama 1.1B is an open-weight LLM from the TinyLlama family with 1.1B parameters. Main use: chat, RAG and general assistance. Detected minimum hardware: GTX 1650 (4 GB).

Check on my GPU →Hugging Face ↗

Technical facts

Parameters1.1B

Max context2k

Q4_K_M0.7 GB

Q5_K_M0.8 GB

Q81.2 GB

FP162.5 GB

FamilyTinyLlama

Last sync2026-05-12

Available quantizations

GGUF weights

Q4_K_M

0.7GB

Acceptable. Good compromise when VRAM is limited.

Q5_K_M

0.8GB

Good quality. Sweet spot for size and precision.

Q8

1.2GB

Near-FP16 quality. Comfortable for production.

FP16

2.5GB

Reference precision. Maximum quality, doubled VRAM.

Compatible GPUs

12 single-GPU

GPUs that can run TinyLlama 1.1B on a single card, ranked by VRAM headroom.

2.5 / 4 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

2.5 / 6 GBcomfortable · FP16

6 GB · Arc Alchemist

2.5 / 6 GBcomfortable · FP16

2.5 / 8 GBcomfortable · FP16

2.5 / 8 GBcomfortable · FP16

2.5 / 8 GBcomfortable · FP16

2.5 / 8 GBcomfortable · FP16

Recommended multi-GPU rigs

2x / 4x consumer GPUs

For TinyLlama 1.1B at higher quantization or with more context, a multi-GPU rig gives more headroom.

2.5 / 8 GBcomfortable · FP16

2× GTX 1060 6GB

12 GB · GTX 10

2.5 / 12 GBcomfortable · FP16

12 GB · GTX 16

2.5 / 12 GBcomfortable · FP16

2× GTX 1660 Super

12 GB · GTX 16

2.5 / 12 GBcomfortable · FP16

2× GTX 1660 Ti

12 GB · GTX 16

2.5 / 12 GBcomfortable · FP16

2× RTX 2060 6GB

12 GB · RTX 20

2.5 / 12 GBcomfortable · FP16

2× RTX 3050 6GB

12 GB · RTX 30

2.5 / 12 GBcomfortable · FP16

12 GB · Arc Alchemist

2.5 / 12 GBcomfortable · FP16

Recommended rig

2× GTX 1650

TinyLlama 1.1B with Ubuntu, vLLM, Open WebUI and the model already downloaded.

VRAM estimates: parameters x bits/8 plus margin. Real performance varies by engine, context length and batch size.
sync: 2026-05-12