tango whisky @TangoW
Joined October 2025-
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@KyleHessling1 Higher temp results in many failed tool calls… ideal temp for agentic coding for this model seems in range of 0.8-0.85. Couple of loops can be handled manually.
@KyleHessling1 I tried it today with temp 0.85. Much better results. Looping only twice in about 2 hours coding session, that too on long context and compaction already happened multiple times.
@TheAhmadOsman All before wireguard, there existed tinc, the tiny daemon for mesh networking… And it was intricate, involving and **difficult to setup**. Tailscale just remove complexity and friction of setting up home mesh network.
@KyleHessling1 Sure, i ll try that. I was running it at 0.6 for coding stuff… i mostly use unsloth recommended parameters for coding
@SohailHNaqvi When i hear about such type of research, I remember an old clip of a molvi sb who was teaching difference between search and research… that’s the kind of research we are mostly having RN.
@Daniel_Farinax Sign me up please. Got an M4 48 GB.
Damn this guy really wrote out this insane deep dive into Torch vs Tensorflow. I love seeing such high effort articles on the TL. You get so much clarity about your thoughts writing long breakdowns like these. Kudos!
I'm bawling my eyes out ❤️🩹🇵🇸🌊
@sudoingX I’m on MacOS, using llama.cpp via brew. Model loads fine with no errors etc.
@sudoingX What setting u r using on llama.cpp for cascade 2. My agents keep failing on tool calling (tried both hermes and openhands-nvidia recommended). On hermes it says something like “Response only contains think block with no content after it”. Any help would be appreciated.
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