Lots of conflicting takes about gpt-oss (yay open-source in the spotlight)!
We’re powering the official
@openai demo
gpt-oss.com with HF inference providers thanks to
@FireworksAI_HQ,
@cerebras,
@GroqInc and
@togethercompute so we have a front-row seat of what’s happening.
Something to remember: inference for new frontier open models isn’t easy, especially with a new format like harmony and the volume of interest that gpt-oss is getting out of the gate.
Early spikes can temporarily affect quality, accuracy, and overall "vibes," particularly just 24 hours post-release when providers are racing against the clock with barely any sleep!
Some advice to avoid forming the wrong opinions:
- If you care about getting vibes as fast as possible, use a hosted setup that gives you a diversity of providers like HF inference providers (
huggingface.co/docs/inferenc…) and follow official standard guides (
huggingface.co/blog/welcome-…)
- If you can, try it on your own hardware from the HF model pages (
huggingface.co/openai) which are usually good sources of truth with transformers and vLLM (keep in mind that you can make mistakes in generation there too)
- Chill and take X hot takes with a grain of salt. Even if the first days can be confusing, the power of open-source is that there’s no cheating so we’ll uncover all the strengths and limitations of these models progressively!
Personally, I think this is a landmark release by the
@OpenAI team, the kind we will remember in 10 years because of its implications. Can’t wait to see what the future holds 🚀🚀🚀