FitMyLLM
TII/Dense

TIIFalcon-H1 0.5B

Tiny hybrid Mamba-Transformer. Edge deployment, ultra-low memory.

chat
0.52B
Parameters
128K
Context length
8
Benchmarks
6
Quantizations
Architecture
Dense
Released
2025-08-01
Layers
36
KV Heads
2
Head Dim
64
Family
falcon

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
1.0 GB
0.8 + 0.2 KV
good
Q5_K_S5.57
1.1 GB
0.9 + 0.2 KV
good
Q5_K_M5.7
1.1 GB
0.9 + 0.2 KV
good
Q6_K6.56
1.1 GB
0.9 + 0.2 KV
excellent
Q8_08.5
1.3 GB
1.0 + 0.2 KV
lossless
FP1616
1.7 GB
1.5 + 0.2 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN FALCON-H1 0.5B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (8)

IFEval72.1
MATH58.4
HumanEval51.8
BBH42.9
MBPP42.6
MMLU-PRO31.0
GPQA Diamond27.9
LiveCodeBench7.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run falcon:0.52b-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-H1 0.5B

Build Hardware for Falcon-H1 0.5B
▸ SPEC SHEET

Falcon-H1 0.5B0.52B Dense.

▸ SPECIFICATIONS
PARAMETERS
0.52B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat
RELEASE DATE
2025-08-01
PROVIDER
TII
FAMILY
falcon
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.890.8 GB94%
Q5_K_S5.570.9 GB96%
Q5_K_M5.70.9 GB96%
Q6_K6.560.9 GB97%
Q8_08.51.0 GB100%
FP16161.5 GB100%
§ 01BENCHMARK SCORES
HumanEval51.8
MMLU-PRO31.0
MATH58.4
IFEval72.1
BBH42.9
MBPP42.6
LiveCodeBench7.0
GPQA Diamond27.9
§ 03COMPATIBLE GPUs
30 @ Q4_K_M