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docs: fix typos
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docs/blog/v3.12-gpt-oss.md

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Here are a few highlights of these models:
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* Due to the low number of active parameters, these models are very fast
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* These are reasoning models, and you can adjust their reasoning efforts
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* These are reasoning models, and you can adjust their reasoning effort
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* They are very good at function calling, and are built with agentic capabilities in mind
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* These models were trained with native MXFP4 precision, so no need to quantize them further.
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They're small compared to their capabilities already
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To quickly try out [`gpt-oss-20b`](https://huggingface.co/giladgd/gpt-oss-20b-GGUF), you can use the [CLI `chat` command](../cli/chat.md):
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```shell
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npx -y node-llama-cpp chat --ef --prompt "Hi there" hf:giladgd/gpt-oss-20b-GGUF/gpt-oss-20b.MXFP4.gguf
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npx -y node-llama-cpp chat --prompt "Hi there" hf:giladgd/gpt-oss-20b-GGUF/gpt-oss-20b.MXFP4.gguf
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```
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