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2525Here are a few highlights of these models:
2626* Due to the low number of active parameters, these models are very fast
27- * These are reasoning models, and you can adjust their reasoning efforts
27+ * These are reasoning models, and you can adjust their reasoning effort
2828* They are very good at function calling, and are built with agentic capabilities in mind
2929* These models were trained with native MXFP4 precision, so no need to quantize them further.
3030 They're small compared to their capabilities already
@@ -74,7 +74,7 @@ but offers better precision and thus better quality.
7474To 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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7676``` shell
77- npx -y node-llama-cpp chat --ef -- prompt " Hi there" hf:giladgd/gpt-oss-20b-GGUF/gpt-oss-20b.MXFP4.gguf
77+ npx -y node-llama-cpp chat --prompt " Hi there" hf:giladgd/gpt-oss-20b-GGUF/gpt-oss-20b.MXFP4.gguf
7878```
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