ChatJimmy is a much smaller model and, AFAIK, has no reasoning capability. Absolutely insane raw speed, like a supercar, while Sol is more like a freight truck.

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sixtyj 5 hours ago | parent | next [-]

At such output speed, I wouldn’t expect reasoning. (But I didn’t know it, thanks.)

700 TPS with reasoning is awesome and it speeds things up.

Cerebras as public traded company is worth keeping an eye what they produce.

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msdz 5 hours ago | parent [-]

> At such output speed, I wouldn’t expect reasoning.

As the sibling comment to yours mentioned, if they had a reasoning model “hardware-ified” onto a custom chip (as is their plan for IIRC this or next year, a new ASIC), it’d output fast decode speeds for the regular output as well as reasoning sections. Both would be ≈equally fast.

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senordevnyc 2 hours ago | parent [-]

Yeah, I thought reasoning was literally just chain of thought in the output token stream, with the model itself adding delimiters to indicate what part of the output is internal reasoning, and what part is an answer to the user. Is that wrong?

	▲	beering an hour ago \| parent [-]
		You are right, reasoning is unrelated to tokens per second.

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notfromhere 5 hours ago | parent | prev | next [-]

Anything will be fast if you etch it straight to silicon

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dzhiurgis 4 hours ago | parent | prev [-]

The knowledge of ChatJimmy is terrible. Even Qwen on my iPhone is better.

	▲	walrus01 an hour ago \| parent \| next [-]
		well, yeah, it's based on a 2+ year old tiny model. It's very much an alpha proof of concept that they can perma-bake an LLM into silicon. https://huggingface.co/meta-llama/Llama-3.1-8B
	▲	headPoet 3 hours ago \| parent \| prev \| next [-]
		ChatJimmy isn't a model, it's Llama 3.1 8B hardwired into silicon. The point isn't to be a good llm, but to showcase the speedup that's possible
	▲	senordevnyc an hour ago \| parent \| prev [-]
		Haha, at first I thought you meant that the knowledge of the existence of an LLM that’s so fast is terrible because it’s ruined every other LLM for you!