FitMyLLM
TII/Dense

TIIFalcon-H1R Tiny 90M

- Developed by: https://www.tii.ae - Model type: Causal decoder-only - Architecture: Hybrid Transformers + Mamba architecture

chatreasoning
0.09B
Parameters
256K
Context length
0
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2026-02-10
Layers
24
KV Heads
2
Head Dim
64
Family
falcon

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
0.7 GB
0.5 + 0.1 KV
good
Q5_K_S5.57
0.7 GB
0.6 + 0.1 KV
good
Q5_K_M5.7
0.7 GB
0.6 + 0.1 KV
good
Q6_K6.56
0.7 GB
0.6 + 0.1 KV
excellent
Q8_08.5
0.7 GB
0.6 + 0.1 KV
lossless
FP1616
0.8 GB
0.7 + 0.1 KV
lossless

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

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Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run falcon:0.09b-q4_K_M

Tag may need adjustment — check ollama.com/library/falcon for available tags.

▸ 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

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Find the best GPU for Falcon-H1R Tiny 90M

Build Hardware for Falcon-H1R Tiny 90M
▸ SPEC SHEET

Falcon-H1R Tiny 90M0.09B Dense.

▸ SPECIFICATIONS
PARAMETERS
0.09B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, reasoning
RELEASE DATE
2026-02-10
PROVIDER
TII
FAMILY
falcon
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.890.5 GB94%
Q5_K_S5.570.6 GB96%
Q5_K_M5.70.6 GB96%
Q6_K6.560.6 GB97%
Q8_08.50.6 GB100%
FP16160.7 GB100%
§ 03COMPATIBLE GPUs
30 @ Q4_K_M