Tested Nemotron 3.5 Lightning locally on coding, Hermes Agent and agentic work

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Summary

User tested Nemotron 3.5 Lightning locally with llama.cpp and quants, finding good speed and agentic tool-calling but below-expectation coding output for its size.

Ran the model with quants (Q5) and MTP by bartowski with llama.cpp server. It takes ~24GB ram running on M5 Pro with 48GB at about 65t/s. On some tasks it was quite the overthinker. Overall, the quality of the code output was way below what you can expect for the size (but this is somewhat disclosed by the authors and what this model was optimized for). In Hermes Agent, it did very well in both speed and tool calling capabilities. Watch more: https://www.youtube.com/watch?v=I8Ypa3yK91s
Original Article

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