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URL: https://willitrunai.com/can-run/hf-tiiuae--falcon-h1-tiny-90m-instruct-gguf-on-arc-a380-6gb

⇱ Falcon H1 Tiny 90M Instruct on Intel Arc A380 6GB? YES

Can Falcon H1 Tiny 90M Instruct run on Intel Arc A380 6GB?

YES — Runs Great

D36Poor
○Estimated from fit model

Falcon H1 Tiny 90M Instruct needs ~1.7 GB VRAM. Intel Arc A380 6GB has 6.0 GB. With Q4_K_M quantization, expect ~2 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth
Share:

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 1.7 GB, 2.0 tok/s, Runs well
1.7 GB required6.0 GB available
28% VRAM used

Fit status

Runs well

Decode

2.0 tok/s

TTFT

96800 ms

Safe context

711K

Memory

1.7 GB / 6.0 GB

Memory breakdown

Weights0.1 GB
KV Cache0.1 GB
Runtime0.9 GB
Headroom0.6 GB

See how fast it feels

See how fast it feelsFalcon H1 Tiny 90M Instruct on Intel Arc A380 6GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API. When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed. Key benefits of running locally: - Full privacy: your prompts never leave your machine - No per-token cost or rate limits - Works offline once the model is downloaded - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb: Model size Q4 (4-bit) Q8 (8-bit) FP16 7B params ~4.3 GB ~7.5 GB ~14 GB 13B params ~7.9 GB ~13.9 GB ~26 GB 70B params ~42.7 GB ~74.9 GB ~140 GB Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 2.0 tok/s decode · 96.8s TTFT (warm) · 5 tok/s prefill

What limits this setup

This model fits, but memory bandwidth is the part holding decode speed back.

Throughput will feel slow

Estimated decode speed is only 2.0 tok/s, so this is more of a technical fit than a comfortable daily-driver setup.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prioritize bandwidth, not only capacity

If this workload feels slow, the next useful step is often a GPU tier with materially faster memory bandwidth rather than only a small bump in capacity.

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatDRuns well2.0 tok/s52800 ms356K
CodingDRuns well2.0 tok/s96800 ms711K
Agentic CodingDRuns well2.0 tok/s140800 ms1.4M
ReasoningDRuns well2.0 tok/s114400 ms711K
RAGDRuns well2.0 tok/s176000 ms1.4M

Quantization options

How Falcon H1 Tiny 90M Instruct (0.09000000357627869B params) fits at each quantization level on Intel Arc A380 6GB (6.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.0 GB
LowC50
Q3_K_S
3
0.0 GB
LowC50
NVFP4
4
0.1 GB
MediumC50
Q4_K_M
4
0.1 GB
MediumC50
Q5_K_M
5
0.1 GB
HighC50
Q6_K
6
0.1 GB
HighC50
Q8_0
8
0.1 GB
Very HighC50
F16Best for your GPU
16
0.2 GB
MaximumC50

Get started

Copy-paste commands to run Falcon H1 Tiny 90M Instruct on your machine.

Run

lms load hf-tiiuae--falcon-h1-tiny-90m-instruct-gguf && lms server start

Frequently asked questions

See all results for Intel Arc A380 6GBSee all hardware for Falcon H1 Tiny 90M Instruct