LOADING DATASHEET
LOADING DATASHEET
by OpenAI
RANKED #193 OF 271 ASSISTANTS · OVERALL #307 OF 6,567 · VIBE SCORE 5.5 · 94 VOICES
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust
94 mentions
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26 weeks · 97 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download gpt oss safeguard 20B once and it's yours. No subscription, no rate limits, works offline.
21B total parameters (3.6B active MoE), a standard 4-bit / MXFP4 quant is about 13 GB
NVIDIA GeForce RTX 4060 Ti 16GB
16 GB VRAM
~$450 NEWMXFP4 / Q4 quant, ~30 tok/s, 8k context
Apple Mac mini M4 Pro
24 GB UNIFIED MEMORY
~$1399 NEWQ4 or Q8 quant, ~40 tok/s, 32k context
NVIDIA GeForce RTX 4090
24 GB VRAM
~$1750 USEDFull FP16 / MXFP4 with full 131k context window
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long gpt oss safeguard 20B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 4060 Ti 16GB | SWEET SPOTApple Mac mini M4 Pro | FULL POWERNVIDIA GeForce RTX 4090 |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~17 S★★★★★ | ~13 S★★★★★ | ~7 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~50 S★★★★★ | ~38 S★★★★★ | ~20 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~4.4 MIN★★★★★ | ~3.3 MIN★★★★★ | ~1.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~14 MIN★★★★★ | ~10 MIN★★★★★ | ~5.6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~8.3 MIN★★★★★ | ~6.3 MIN★★★★★ | ~3.3 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People are mostly frustrated with gpt oss safeguard 20B right now.
89 POSTS · 5 COMMENTS · GITHUB · BLOG · REDDIT · DEV.TO
1 thumbs up · 4 thumbs down
Other models the crowd has fully reviewed, starting with multimodal models like this one.
100,000+ models trained with Unsloth have been open-sourced
Gpt-oss RL now in Unsloth!
gpt-oss Unsloth GGUFs are here!
500K Context Length Fine-tuning now in Unsloth!
Unsloth October Release
RX 7900 XTX vs Radeon AI PRO R9700 — llama.cpp Vulkan vs ROCm (6 models, token-gen)
You can now run Unsloth GGUFs locally via Docker!
MoE CPU-offload benchmark on Deepseek V4/Gemma4/Qwen/GPT-OSS — TensorSharp vs llama.cpp
OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. And yes, thanks to some clever optimizations, they can run locally (but more about this later). This is the first time…
gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are two open-weight reasoning models post-trained from the gpt-oss models and trained to reason from a provided policy in order to label content under that policy. In this report, we describe…
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on…
We introduce gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models available under the Apache 2.0 license and our gpt-oss usage policy.