Snowflake Arctic Instruct on Arduino UNO Q (4 GB)
Can the Arduino UNO Q (4 GB) run Snowflake Arctic Instruct?
No, it doesn’t fit
No. Snowflake Arctic Instruct needs about 193 GB even at Q2_K; the Arduino UNO Q (4 GB) has 2.8 GB usable.
Download Snowflake Arctic Instruct
Original weights · Hugging Face
Full-precision files from Snowflake, for fine-tuning, vLLM, Transformers.
huggingface.co/Snowflake/snowflake-arctic-instruct (opens in a new tab)
How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 4.7 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 4.7 / 100 |
Every quantization on the Arduino UNO Q (4 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 193 GB | 2.8 GB | — | Won't run | 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q3_K_M | 236 GB | 2.8 GB | — | Won't run | 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 293 GB | 2.8 GB | — | Won't run | 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 341 GB | 2.8 GB | — | Won't run | 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 394 GB | 2.8 GB | — | Won't run | 49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 509 GB | 2.8 GB | — | Won't run | 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 959 GB | 2.8 GB | — | Won't run | 50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.
Hardware that can run it
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47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
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47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.
Apple M5 Ultra (512 GB)
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42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI325X
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42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI350X
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42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
Models that do run on the Arduino UNO Q (4 GB)
- 55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7B
- 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 2B
- 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2B
- 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4B
- 42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. TMax 4B
Quick answers
How much memory does Snowflake Arctic Instruct need on the Arduino UNO Q 4GB?
Even at Q2_K it needs about 193 GB; the Arduino UNO Q 4GB has 2.8 GB usable.
What can the Arduino UNO Q 4GB run instead?
LFM3 1.7B, MiniCPM5 2B and LFM3-VL 2B run best on it; the page lists more, each with its speed.
What hardware can run Snowflake Arctic Instruct?
M3 Ultra 512GB, M3 Ultra 256GB and M5 Ultra 512GB run it; the page lists more, each with its speed.
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.