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arthu1ย  updated a model 27 days ago
North-ML1/Veyra-Next-Preview
arthu1ย  published a model 27 days ago
North-ML1/Veyra-Next-Preview
arthu1ย  updated a Space 3 months ago
north-previews/README
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Banaxi-Techย 
posted an update about 22 hours ago
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We've released the BananaMind/BETU-SLM-Leaderboard

Its so simple to use, it ranks models, and by one command add your own model to it.

It scores by Overall Index which is a weighted mix of Hellaswawg, ARC EASY, PIQA, Arithmark 3, Tiny Theory of Mind, and BananaMind Base Bench.
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Banaxi-Techย 
posted an update 2 days ago
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We ARE Announcing BananaMind 3 Ultra.

400M parameters, designed to beat LFM 2.5 1.2B.

This model is a usable small agent. Not a demo model like our 3M models.


FP8. KV1. Optimization. FactBase DCLM. Fable 5.2 for maximum speed kernels. TST.

This model will M.
What do you think? 50+ INT Index on the Open SLM leaderboard? BananaMind 3 is coming before christmas.

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Banaxi-Techย 
posted an update 5 days ago
Banaxi-Techย 
posted an update 6 days ago
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Hi guys.

We're announcing Klein SL Pro, our new model at Klein ML.
It's doing post-training of Qwen3.8 Flash Next to make IT fit on 16GB VRAM.

It works by converting its MoE to SLMoE, SLMoE is an architecture, that chooses experts per response, not per token anymore.

This makes it so you can offload everything else to the disk and not get slow speed.


We're also seeking more compute to do this same thing on Deepseek V4.1 Flash, allowing it to run on 16GB VRAM tightly and definitely on 24GB. If you have hardware, more than 200B of VRAM in total, create a discussion klein-ml/README.
Banaxi-Techย 
posted an update 10 days ago
Banaxi-Techย 
posted an update 12 days ago
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SupraTTS is going to be cooked lol

Klein TTS X1.5 is releasing in under a WEEK


(supratts scoring 743 on tts index: ๐Ÿ˜ญ)


we are just doing our post training now before releasing and are so excited with the results x2 will be insane!
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Banaxi-Techย 
posted an update 13 days ago
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Happy halloween everyone!


We've did some updates to Banaxi-Tech/TTS-Arena and now, everyone who uses the TTS Arena alot will get featured in our Klein TTS Release. Using it REALLY helps us alot so please use it.

Updates on the sizes: Klein TTS Flash Lite with 0.4M parameters, Klein TTS Flash with 1.7M parameters, Klein TTS Pro with 13M parameters and Ultra with 21M.
Banaxi-Techย 
posted an update 16 days ago
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Hi everyone, we're releasing the TTS Arena.

You can test models and see rankings, its like the SLM Arena but for TTS.

Right now there are 2 stealth models on the arena, "cirxinx" and "tiger-alpha", try them out to preview a new model ๐Ÿฅท


We're also training Klein TTS X1.5 right now, they will release soon. We're also adding a 210K parameter size.


If your excited on them vote here: Banaxi-Tech/HuggingPolls

If you'r wondering what that is, its HuggingPolls, a space we released for Polls on huggingface.

Because huggingface doesent have any polls, we made it.

You can also make your own polls!
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Banaxi-Techย 
posted an update 17 days ago
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Klein TTS X1.5!!!


It will feature 1.7M,4M 13M and a 21M size

klein-ml


Early access opening soon
Its training right now!

We are also working on the X2 architecture featuring a feature that allows the model to iterate on the audio it produced.
Banaxi-Techย 
posted an update 19 days ago
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BananaMind 3 is going to be an comeback. Sorry for the BGA things ( i genuinely didnt know about nsa existing and yes I used aiiii)
Were going to use our BananaMind 2.1 Unified architecture with some changes + NSA and some other stuff.
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Banaxi-Techย 
posted an update 20 days ago
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BananaMind is in the google situation before argon right now, right?
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Banaxi-Techย 
posted an update 23 days ago
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So... im on vacation for 5 more days and I just realized... my hotel doesent have a grounding port ๐Ÿ˜Ÿ so my pc shocked me 3 times.

So no progress for 5 days... only me and this phone
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Banaxi-Techย 
posted an update 24 days ago
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Hi everyone
We at
saicr
have found a very interesting "thing" we call ADN via interpretabillity. It appears on EVERY prompt sent to the model. More on that later.
Also I made a X account follow it for more updates:
@banaxitech

And KleinML:
@kleinmlai

Here's my website for Klein ML: https://kleinml.com/?ref=huggingface.co
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Banaxi-Techย 
posted an update 27 days ago
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bci is the future.


and i dont like that
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Banaxi-Techย 
posted an update 28 days ago
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hi everyone
we at
klein-ml
are announcing KleinMem

These models will have Native memory, without any system-prompt or prompt, it still remembers exactly.

Get early access at https://tinyurl.com/klein-eap limited to 15 users.


Architecture details are coming soon toon.

If you know alot about architecture and want to help build it, join
klein-ml
.
Banaxi-Techย 
posted an update 29 days ago
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KV1 updates:

We at
klein-ml
have finished stage 1 of KV1 1.2B, we don't think we will need additional stages.

KV1 2.6B is near the midpoint of training, going well so far, its going to be our most agentic model yet.

We have released Klein Code Bench klein-ml/klein-code-bench, a benchmark testing whether models can build complete projects from scratch. It contains a easy, intermediate, hard and max subset.


Here are some benchmarks of the current KV1 1.2B


It retains 75.8% of FP16 intelligence.



We are also announcing that we at
klein-ml
are working on Klein 24B A2B which will be our first model featuring ternary weight quantization.
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Banaxi-Techย 
posted an update about 1 month ago
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We're announcing KV1. Now.

We're going to take some models, do a bit of continued training on them and QAT them for only a 2 bit KV cache.
And because of what happened with BGA, and this is also kind of some research stuff, here's what we're going to change:
We're going to always, before we release how and make any claims, release our results.
We also would like (idk if we can) to have some external reviewers before releasing them, I'M talking to YOU @AtAndDev and @mithulaartigala
And we're going to properly cite other research.

The models we are going to release is:
KV1 1.2B, based on LFM 2.5 1.2B Instruct
KV1 2.6B, based on LFM 2.5 2.6B Instruct
KV1 4B, based on Qwen3.5 4B.

If we get enough compute, we may also train:
KV1 9B

And if you guys want to a ~27B model, you guys decide which, either on LFM 2.5 24B A2B, Qwen3.8 27B, or Qwen3.6 35B A3B.

Our goal is to get 2 bit, at 4 bit quality.

Here's an image of our current progress, KV1 is at 3 bit, not 4 bit, but it will improve!
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Banaxi-Techย 
posted an update about 1 month ago
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Should I even continue making models?
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