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BoredomIsFun

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BoredomIsFun
·11 日前·議論
/r/localllama is not like that at all.
BoredomIsFun
·12 日前·議論
> I get hallucinated tool call parameters and bizarre invocations

tweaking sampler might help
BoredomIsFun
·2 か月前·議論
It would be true, if model providers did not throttle their models. I do not have definitive proof they do but the rumors are abundant.
BoredomIsFun
·2 か月前·議論
> Chemical reactions are just math.

No, it is quantum mechanics. Physical world is not reducible to math, it has been long proven since early 20th century.
BoredomIsFun
·2 か月前·議論
LFM models I've tried all seemed to be suffering from serious coherence issues. I found Gemmas the best at tasks requiring rock solid coherent output; even Qwen's not comparable.
BoredomIsFun
·2 か月前·議論
> Qwen 3.6 burns it to the ground.

Not for creative writing or NLP.
BoredomIsFun
·3 か月前·議論
It feels like a pointless conversation, if no sampler settings (min_p, temperature etc.) mentioned.
BoredomIsFun
·3 か月前·議論
> An LLM is a router and completely stateless aside from the context you feed into it.

Not the latest SSM and hybrid attention ones.
BoredomIsFun
·3 か月前·議論
good old illustrtation: https://www.ml6.eu/en/blog/large-language-models-to-fine-tun...

The it- one is the yellow smiling dot, the pt- is the rightmost monster head.
BoredomIsFun
·3 か月前·議論
> If I offend anyone I will not be apologising for it.

What you said is simply counterfactual, so no reason to be offended.
BoredomIsFun
·3 か月前·議論
Asimov is a widespread lastname in ex-USSR, esp. Central Asia. I personally know three unrelated Asimovs.
BoredomIsFun
·4 か月前·議論
> Local model enthusiasts often assume that running locally is more energy efficient than running in a data center,

It is a well known 101 truism in /r/Localllama that local is rarely cheaper, unless run batched - then it is massively, 10x cheaper indeed.

> I think they mean that the DeepSeek API charges are less than it would cost for the electricity to run a local model.

Because it is hosted in China, where energy is cheap. In ex-USSR where I live it is inexpensive too, and keeping in mind that whole winter I had to use small space heater, due to inadequacy of my central heating, using local came out as 100% free.
BoredomIsFun
·4 か月前·議論
Hmm...no. These two things are orthogonal. Regardless, Olmo are opensource.
BoredomIsFun
·4 か月前·議論
1 and 3 contradict each other. Last thing people need is anti-AI hysteria.
BoredomIsFun
·4 か月前·議論
1. What makes you think it is written by an LLM

2. Where is that rule, could you cite it?

3. How dow I know you did not use LLM for your comment?
BoredomIsFun
·4 か月前·議論
> the API-driven $trillion labs?

here we go: https://huggingface.co/collections/trillionlabs/tri-series
BoredomIsFun
·4 か月前·議論
please post it on /r/localllama
BoredomIsFun
·4 か月前·議論
Phi-4-14b with layers duplicated (phi-4-25b) has increassed performance. Phi-4-49b has degraded vs 14b.
BoredomIsFun
·4 か月前·議論
Phi-4-25 is another example.
BoredomIsFun
·4 か月前·議論
You might like /r/antiai.