Falcon-H1 0.5B Instruct on NVIDIA GeForce RTX 4060

Can the NVIDIA GeForce RTX 4060 run Falcon-H1 0.5B Instruct?

52 pts

Yes, it runs well

Runs well. At F16 it needs about 2.2 GB of 8.0 GB usable, with an estimated speed of 151 tok/s.

Best quant: F16
Generation speed: 151 tok/s
Prompt processing: 20,908 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 16K

Download Falcon-H1 0.5B Instruct

Recommended for the NVIDIA GeForce RTX 4060: F16. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the F16 file (opens in a new tab)

huggingface.co/tiiuae/Falcon-H1-0.5B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/tiiuae/Falcon-H1-0.5B-Instruct-GGUF:BF16

Original weights · Hugging Face

Full-precision files from TII, for fine-tuning, vLLM, Transformers.

huggingface.co/tiiuae/Falcon-H1-0.5B-Instruct (opens in a new tab)

No sign-in needed.

Links checked 1 week ago against Hugging Face, Ollama and GitHub.

How the C grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	6.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	6.3 / 15
Total	52.6 / 100	52 ptsUsable (C) · 52 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the NVIDIA GeForce RTX 4060

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	1.4 GB	8.0 GB	1,055 tok/s	Runs well	48 ptsUsable (C) · 48 of 100 points: Model quality 4.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.9/15	GGUF (opens in a new tab)
`Q3_K_M`	1.4 GB	8.0 GB	830 tok/s	Runs well	49 ptsUsable (C) · 49 of 100 points: Model quality 5.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.1/15	GGUF (opens in a new tab)
`Q4_K_M`	1.5 GB	8.0 GB	642 tok/s	Runs well	50 ptsUsable (C) · 50 of 100 points: Model quality 6.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.2/15	GGUF (opens in a new tab)
`Q5_K_M`	1.5 GB	8.0 GB	530 tok/s	Runs well	50 ptsUsable (C) · 50 of 100 points: Model quality 6.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.4/15	GGUF (opens in a new tab)
`Q6_K`	1.6 GB	8.0 GB	446 tok/s	Runs well	50 ptsUsable (C) · 50 of 100 points: Model quality 6.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15	GGUF (opens in a new tab)
`Q8_0`	1.7 GB	8.0 GB	327 tok/s	Runs well	51 ptsUsable (C) · 51 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.9/15	GGUF (opens in a new tab)
`F16`	2.2 GB	8.0 GB	151 tok/s	Runs well	52 ptsUsable (C) · 52 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15	GGUF (opens in a new tab) Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

52 ptsUsable (C) · 52 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.7/15 Apple M4 (16 GB) F16 · 57.2 tok/s
50 ptsUsable (C) · 50 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 Apple M1 (16 GB) Q8_0 · 70.6 tok/s
50 ptsUsable (C) · 50 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 Intel Arc B580 F16 · 193 tok/s
50 ptsUsable (C) · 50 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 NVIDIA GeForce RTX 3060 12GB F16 · 199 tok/s
50 ptsUsable (C) · 50 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 NVIDIA GeForce RTX 4070 SUPER F16 · 279 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.