gpt-oss-safeguard 20B on Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB)

Can the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB) run gpt-oss-safeguard 20B?

No, it doesn’t fit

No. gpt-oss-safeguard 20B needs about 13.1 GB even at MXFP4; the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB) has 2.0 GB usable.

Download gpt-oss-safeguard 20B

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

ollama run gpt-oss-safeguard:20b

Quantized files · GGUF

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

huggingface.co/unsloth/gpt-oss-safeguard-20b-GGUF (opens in a new tab)

ollama run hf.co/unsloth/gpt-oss-safeguard-20b-GGUF

Original weights · Hugging Face

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

huggingface.co/openai/gpt-oss-safeguard-20b (opens in a new tab)

No sign-in needed.

Links checked 3 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.: How capable the model itself is at MXFP4, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Won't run: How well it runs on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

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.

PrecisionEditorial precision tier from the model’s published benchmarks, scaled by the quantization or precision used.	10.3 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.	0.0 / 25
SpeedTime for one decision against a 100 ms target: reading the input plus any tokens the model writes.	0.0 / 15
ClarityHow easy the answer is to use in code: a probability or score earns the most, written feedback before a score the least.	0.0 / 15
Match score	10.3 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Every quantization on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB)

Quant	Memory needed	Available	Speed	Runs	Quality	Download
`MXFP4`	13.1 GB	2.0 GB	—	Won't run	76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`F16`	43.8 GB	2.0 GB	—	Won't run	76Great quality (A) · 76 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.	GGUF (opens in a new tab) Original weights (opens in a new tab)

Times are for one request with a 512-token input and about 160 tokens written. Batching servers process many requests at once.

Hardware that can run it

76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell MXFP4 · 808 ms · Slow
76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 MXFP4 · 812 ms · Slow
76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4090 MXFP4 · 1.0 s · Slow
76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 3090 MXFP4 · 1.1 s · Slow
76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 7900 XTX MXFP4 · 1.1 s · Slow
76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. Apple M3 Ultra (256 GB) MXFP4 · 1.3 s · Slow

Models that do run on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB)

86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5 Q8_0 · 3.9 s
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3 Q8_0 · 3.9 s
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 Decide Q8_0 · 1.7 s
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-Decisions Q8_0 · 2.9 s
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6B Q8_0 · 3.9 s

Quick answers

How much memory does gpt-oss-safeguard 20B need on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS 4GB?

Even at MXFP4 it needs about 13.1 GB; the Intel Core i3-8100 / Pentium (8th gen desktop) NAS 4GB has 2.0 GB usable.

What can the Intel Core i3-8100 / Pentium (8th gen desktop) NAS 4GB run instead?

Jina Reranker v3.5, Jina Reranker v3 and GLiNER2.5 Decide run best on it; the page lists more, each with its speed.

What hardware can run gpt-oss-safeguard 20B?

NVIDIA RTX PRO 6000 Blackwell 96GB, RTX 5090 32GB and RTX 4090 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.