OpenAI’s GPT-OSS has sparked ~400 new models on Hugging Face and racked up 5M downloads in less than a week, already outpacing DeepSeek R1’s first-week numbers.
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OpenAI’s GPT-OSS has sparked ~400 new models on Hugging Face and racked up 5M downloads in less than a week, already outpacing DeepSeek R1’s first-week numbers.
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For comparison: when R1 launched, I tracked 550 derivatives (across 8 base models) in a week, with ~3M downloads. GPT-OSS is ahead on adoption and engagement.
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For comparison: when R1 launched, I tracked 550 derivatives (across 8 base models) in a week, with ~3M downloads. GPT-OSS is ahead on adoption and engagement.
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It’s also the most-liked release of any major LLM this summer. The 20B and 120B versions quickly shot past Kimi K2, GLM 4.5, and others in likes.
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It’s also the most-liked release of any major LLM this summer. The 20B and 120B versions quickly shot past Kimi K2, GLM 4.5, and others in likes.
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Most-downloaded GPT-OSS models include LM Studio and Unsloth AI versions:
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Most-downloaded GPT-OSS models include LM Studio and Unsloth AI versions:
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1️⃣ openai/gpt-oss-20b - 2.0M
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1️⃣ openai/gpt-oss-20b - 2.0M
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2️⃣ lmstudio-community/gpt-oss-20b-MLX-8bit - 750K
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2️⃣ lmstudio-community/gpt-oss-20b-MLX-8bit - 750K
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3️⃣ openai/gpt-oss-120b - 430K
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3️⃣ openai/gpt-oss-120b - 430K
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4️⃣ unsloth/gpt-oss-20b-GGUF - 380K
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4️⃣ unsloth/gpt-oss-20b-GGUF - 380K
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5️⃣ lmstudio-community/gpt-oss-20b-GGUF - 330K
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5️⃣ lmstudio-community/gpt-oss-20b-GGUF - 330K
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The 20B version is clearly finding its audience, showing the power of smaller, faster, more memory- and energy-efficient models. (These numbers don’t include calls to the models via inference providers, so the real usage is likely even bigger, especially for the 120B version)
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The 20B version is clearly finding its audience, showing the power of smaller, faster, more memory- and energy-efficient models. (These numbers don’t include calls to the models via inference providers, so the real usage is likely even bigger, especially for the 120B version)
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Open-weight models let anyone build on top. Empower the builders, and innovation takes off. 🚀
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Open-weight models let anyone build on top. Empower the builders, and innovation takes off. 🚀
OpenAI’s GPT-OSS has sparked ~400 new models on Hugging Face and racked up 5M downloads in less than a week, already outpacing DeepSeek R1’s first-week numbers.

For comparison: when R1 launched, I tracked 550 derivatives (across 8 base models) in a week, with ~3M downloads. GPT-OSS is ahead on adoption and engagement.

It’s also the most-liked release of any major LLM this summer. The 20B and 120B versions quickly shot past Kimi K2, GLM 4.5, and others in likes.

Most-downloaded GPT-OSS models include LM Studio and Unsloth AI versions:
1️⃣ openai/gpt-oss-20b - 2.0M
2️⃣ lmstudio-community/gpt-oss-20b-MLX-8bit - 750K
3️⃣ openai/gpt-oss-120b - 430K
4️⃣ unsloth/gpt-oss-20b-GGUF - 380K
5️⃣ lmstudio-community/gpt-oss-20b-GGUF - 330K

The 20B version is clearly finding its audience, showing the power of smaller, faster, more memory- and energy-efficient models. (These numbers don’t include calls to the models via inference providers, so the real usage is likely even bigger, especially for the 120B version)

Open-weight models let anyone build on top. Empower the builders, and innovation takes off. 🚀
🚀
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