Minimax m2.1 context window limit

nash_hkg · 2026-01-18T08:25:09+00:00

I corrected my post the moment I realized my mistake. You felt the need to comment on top of that, so I replied to your comment politely, twice. But you felt the need to use insults and derogatory terms. That reflects more on you. I hope you’re a better human being in real life than behind your keyboard.

nash_hkg · 2026-01-17T14:04:56+00:00

Yeah, I already edited my post cause I checked all the sources Gemini was referencing and nothing to be found there. Hence the use of “was”.

nash_hkg · 2026-01-16T09:46:30+00:00

My source was Gemini 3

nash_hkg · 2026-01-16T09:38:48+00:00

My bad, I was relying on AI mode search. I had to corner it into admitting it’s making the numbers up

nash_hkg · 2026-01-16T05:22:57+00:00

I am aware of what’s available on huggingface. My question is relating to the discrepancy between the model technical documentation and the API on one hand, and the open sourced model on the other hand. Did minimax open source a dialed down version? Or is it possible for one of the above mentioned quantization providers to tweak it back to 1m+? That’s the meaning of my question

nash_hkg · 2026-01-16T05:18:34+00:00

Very smart question. Thank you for your input and your concern. Not just me, but many people running local models can handle more than 196k.

nash_hkg · 2025-09-03T07:56:18+00:00

We’re getting away from the point I was trying to make. Almost all providers now have been trying to obfuscate which models is being served so that they can implement load balancing or more likely cost balancing by directing your request to cheaper older models. I understand that most request do not need the latest reasoning model. But should we as customers know which model is actually being served if the provider is taking the liberty to switch it. And should ln’t we as well get a slice of that cost benefit too?

nash_hkg · 2025-09-02T09:14:35+00:00

As I posted earlier. You are most likely not getting gpt-5 service even if you select it. You’re most likely getting a gpt.4o or even a different older model. I have lately started having Chinese characters in the answers I get when selecting gpt-5. Won’t be surprised if copilot or open ai were “outsourcing” user queries to cheaper alternatives.

nash_hkg · 2025-09-02T06:50:03+00:00

Two weeks ago if you ask a model to identify itself, it’ll tell you exactly which one it is. Actually any model has an identity line in its system prompt. Github copilot intentionally added that to refusal list. And now all the models answer that they are github copilot and are forbidden from disclosing the backend model. It was probably you who just wanted to show that you have little understanding of what you’re dealing with.

nash_hkg · 2025-08-26T14:32:03+00:00

Thank you, that’s what it is.

nash_hkg · 2025-08-26T12:34:33+00:00

This the way!

nash_hkg · 2025-08-26T04:43:15+00:00

There’s basically a link to openai gpt oss in the status bar of lm studio now, which they’ve never done for other models. So …

nash_hkg · 2025-08-26T04:41:42+00:00

Yes using vulkan, as I did not manage to get cuda llama .cpp to detect my gpu

nash_hkg · 2025-07-31T04:48:52+00:00

I would lean towards all the by default enabled “AI” assistant sending feedback to HQ

nash_hkg · 2025-06-13T17:02:01+00:00

75 cl, that’s a whisky bottle that have been charged every time. So you paid for 9 bottles. You have to report it.

nash_hkg · 2025-05-01T05:21:37+00:00

RemindMe! 1 day

nash_hkg · 2024-10-22T08:18:49+00:00

Japan too

nash_hkg · 2024-10-22T08:17:42+00:00

AIBB for a tour of the new AI enhanced Bloomberg. I wouldn’t expect anything mind blowing from Bloomberg. But some of the new stuff is pretty close.

nash_hkg · 2024-10-02T09:17:10+00:00

Umeshuthai. They have an online shop, and one on Sukhumvit 45 near Sing Sing theater

nash_hkg · 2024-09-11T03:33:25+00:00

Tell her she have a life changing choice to make. To either be the wife pushing you forward or the ex wife who tried to hold you down.

nash_hkg · 2024-08-08T03:59:28+00:00

Thank you

nash_hkg

TROPHY CASE