WildGuard 7B on Arduino UNO Q (2 GB)
Can the Arduino UNO Q (2 GB) run WildGuard 7B?
No, it doesn’t fit
No. WildGuard 7B needs about 5.4 GB even at Q4_K_M; the Arduino UNO Q (2 GB) has 1.2 GB usable.
Download WildGuard 7B
Original weights · Hugging Face
Full-precision files from Ai2, for fine-tuning, vLLM, Transformers.
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.
| Precision | 10.3 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Clarity | 0.0 / 15 | |
| Match score | 10.3 / 100 |
Every quantization on the Arduino UNO Q (2 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q4_K_M | 5.4 GB | 1.2 GB | — | Won't run | 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 6.1 GB | 1.2 GB | — | Won't run | 77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 6.9 GB | 1.2 GB | — | Won't run | 79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 8.6 GB | 1.2 GB | — | Won't run | 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 15.5 GB | 1.2 GB | — | Won't run | 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Times are for one request with a 512-token input and about 6 tokens written. Batching servers process many requests at once.
Hardware that can run it
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80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
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80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
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79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
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79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
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79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
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79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
Models that do run on the Arduino UNO Q (2 GB)
- 76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86M
- 75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-base v2
- 74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. GLiClass ModernBERT Large v3
- 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. GTE Reranker ModernBERT Base
- 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22M
Quick answers
How much memory does WildGuard 7B need on the Arduino UNO Q 2GB?
Even at Q4_K_M it needs about 5.4 GB; the Arduino UNO Q 2GB has 1.2 GB usable.
What can the Arduino UNO Q 2GB run instead?
Llama Prompt Guard 2 86M, mxbai-rerank-base v2 and GLiClass ModernBERT Large v3 run best on it; the page lists more, each with its speed.
What hardware can run WildGuard 7B?
RTX 5090 32GB, NVIDIA RTX PRO 6000 Blackwell 96GB and RX 7900 XTX 24GB 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.