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arthu1ย  updated a Space 17 days ago
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arthu1ย  published a Space 17 days ago
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Banaxi-Techย 
posted an update about 20 hours ago
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We're announcing our BananaMind 2.1 model series!
The models will include:
- BananaMind 2.1 Nano: 10M parameters with 60B tokens.
- BananaMind 2.1 Lite: 25M parameters with 40B tokens.
- BananaMind 2.1 Flash: 50M parameters with 55B tokens.
- BananaMind 2.1 Pro: 135M-145M parameters (still deciding) with 100B tokens.
These model will use a multi tower architecture (like BananaMind/BananaMind-2.1-Unified) with some more architectural changes.

BananaMind 2.1 Pro will probrably use 2 no output towers, instead of one!

We're currently training some experimental models based on this architecture to see its scaling!

Follow us:
BananaMind
@Banaxi-Tech
@vovaRL
@DedeProGames
bananamind-research-community
  • 7 replies
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Banaxi-Techย 
posted an update 3 days ago
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We're releasing BananaMind 2.1 Unified, a 35M three-tower relay model where the two output towers can only talk to each other through a silent middle tower that has no output head and no loss term.

Tower B trains entirely on indirect gradient. It was never told what to predict. It woke up anyway. Jacobian lens shows it carrying the correct answer ("Paris", "oxygen", "blue") at its deepest layer. Its bridge gates grew 4-47x from init. Feed it from only one side and the representations collapse to junk โ€” it needs both outer towers to become semantic.

The PIQA result is the cleanest demonstration: Tower A alone scores 50.11 (chance). Tower C alone 52.12. Full system 61.75. All physical reasoning lives in the integration. The 35M three-tower beats the 50M single-tower BananaMind 2 Medium on PIQA.

Trained on 38B tokens in ~7.5 hours on 8x RTX PRO 6000. Ships with 7 ablation modes so you can surgically cut the model apart without retraining. Full training logs, J-lens fits, and eval outputs for every mode included.

This is a research model. It is interesting because you can take it apart.
BananaMind/BananaMind-2.1-Unified

Follow us for more:
BananaMind

@Banaxi-Tech
  • 11 replies
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Banaxi-Techย 
posted an update 5 days ago
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New Architecture.
Training started. Few days and you'll see what it is exactly.
Its 2 models connected into 1 unified model.
Banaxi-Techย 
posted an update 6 days ago
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We're excited to open source BananaMind OS, our OS for running BananaMind models.
It allows you to run local AI on hardware such as a 486 or 386 (untested)
Check it out at: https://github.com/BananaMind/BananaMindOS

How to use it, either build it yourself (see instructions on repo) or check out our prebuilt ISOs:
https://github.com/BananaMind/BananaMindOS/releases/download/v0.0.2/bananamind-os.iso is for 6MB+ RAM using Grub


https://github.com/BananaMind/BananaMindOS/releases/download/v0.0.2/bananamind-ultra.iso is for under 6MB RAM using our custom bootloader to bypass the grub memory requirement.

The ISOs are about 70MB because they include all of the models in our custom format, see repo if you want to build a ISO for only one model.

x64 and x86 supported. 16 bit maybe soon.

And a TTS on 486 soon.
  • 9 replies
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Banaxi-Techย 
posted an update 8 days ago
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We're excited to release BananaMind 2 Pro, our final version of the Pro model.
Trained on 100B tokens it performs extremely good for its token and size class.
The training took 22 days on one RTX 5070 Ti.
Check it out at
BananaMind/BananaMind-2-Pro
We did not release a Chat version yet because it regressed. Release Later.
Follow us to know when BananaMind 2 Ultra releases and support us at
BananaMind
@Banaxi-Tech
@vovaRL
@DedeProGames
  • 19 replies
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Banaxi-Techย 
posted an update 10 days ago
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Today we wanted to release BananaMind 2 Pico, our smallest model yet at ~0.9M parameters. Instead, we accidentally ran a very expensive experiment on what happens when you push a tiny model way past its useful token budget.

Short version: we trained on 200B tokens (~222K:1 tokens-per-parameter). The model peaked at 20B tokens with an INT Index of 4.55, then degraded monotonically over the next 160B to 3.31 โ€” a 27% regression. Three of four Open SLM benchmarks were worse at the end of training than they were at 10% through.

The useful compute-optimal range for Pico-tier models looks like ~22Kโ€“30K tokens per parameter. Ratios like 7K:1, 15K:1, and 22K:1 all work fine โ€” TinyStories and most sub-3M community models sit in this range. Push much further and benchmarks start rotting.

Follow us for more:
BananaMind
@vovaRL
@Banaxi-Tech


Full writeup with all checkpoints, the Chinchilla-ratio control run, and the schedule-vs-overtraining analysis: https://huggingface.co/blog/Banaxi-Tech/ovdadadadd


And if anyone, i dont know the reason why you would, wants the 20B token checkpoint reply and ill upload it as BananaMind 2.1 Pico EXP
  • 3 replies
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Banaxi-Techย 
posted an update 11 days ago
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We're excited to release BananaMind 2 SLMoE, an experimental sequence-level mixture-of-experts model.
It uses only 8M parameters per message but has 25M total parameters, 13 experts (out of 64) are selected based on the message prefix and reused for the entire response.
We're testing with this sequence-level architecture to find out how big the capability loss actually is and how much of it can be fixed.
The long-term idea is that this could make very large sparse models usable on machines that can't fit them in RAM by putting the entire model (which is big) on disk and only loading the active parts into VRAM.
This architecture is still in research and shouldn't be used for production models.


We trained it on 60B tokens (of FineWeb-HQ, FineWeb-Edu, DCLM ,Cosmopedia v2, FineMath and NPSet-2) on 8 RTX Pro 6000s.

Check it out at BananaMind/BananaMind-2-SLMoE
Follow us for future models:
BananaMind
@vovaRL
@Banaxi-Tech
@DedeProGames

BananaMind 2 Pro in a few days. You've been waiting 22 days for it.
  • 3 replies
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LH-Tech-AIย 
posted an update 11 days ago
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Hey community and sponsors!

We are announcing the Supra3 family with four core SLM models:
- Supra3 Flash Lite: 25M parameters, ~60B pretraining tokens
- Supra3 Flash: 50M parameters, ~100B pretraining tokens
- Supra3 Pro: 75M parameters, ~150B pretraining tokens
- Supra3 Ultra: 100M parameters, ~200B pretraining tokens

For Supra3 Pro and Ultra, we search for sponsors who give us free access to compute like RTX 5090 32GB or so.

We estimate the total cost of the pro and ultra models at around $600.

For Supra3 Flash Lite and Flash, we do not need sponsors.

If anyone would apply for helping us, we would be really thankful and this person would get early access to new modele, insider information, credit and more!

Contact: here or on discord: lh_tech_ai
  • 14 replies
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Banaxi-Techย 
posted an update 12 days ago
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We're excited to release BananaMind 2 Micro, our smallest model yet.
It fits a compact architecture in only 2.9M parameters achieving the highest parameter efficiency on BananaMind Base Bench against comparable models.
It achieves comparable performance to GPT S2 5M and GPT S 5M at almost half the size while beating CMA 1M Mini.
BananaMind 2 Micro achieved the #1 spot on the Open SLM Leaderboard for the sub 3M category (not added yet but it achieves #1)
For the training we used Muon + the XSA Refresh Gate with a 5e-2 lr for Muon and 4e-3 for the 1D weights.
Its score on our efficiency measure is 0.326 getting the first place with Syn 2.6M on the second place scoring 0.291 and GPT S 5M at 0.235*
Check it out at BananaMind/BananaMind-2-Micro and follow us at:
@vovaRL
@DedeProGames
@Banaxi-Tech
BananaMind

Our new releases aren't stopping ๐Ÿš€ August 13-14 BananaMind 2 Pro
  • 9 replies
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Dorman11ย 
posted an update 12 days ago
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I've been thinking this for a long time, other than OpenMythos will we see similar type of open source models be released? The more and more top frontier models get good at finding zero day vulnerabilities and security weaknesses how will the open source model community respond. My take is we will see a open source model very soon be as good at finding security holes as the top models, at some point in the future. Is it just me or anyone seeing this?
Banaxi-Techย 
posted an update 13 days ago
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Today.
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Banaxi-Techย 
posted an update 14 days ago
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We're exited to announce BananaMind OS, our OS specically for running BananaMind models!
Its able to run BananaMind 2 Nano at 4 bit on only 7-8MB of ram, the 2 bit on 6MB of ram and the 8 bit version on 14MB of RAM!
It runs on a 486 or newer!
Check out this video and image running BananaMind 2 Nano 4 Bit on 9
MB of RAM and a emulated 486 in QEMU at ~1TPS!
We asked it: "What is the first letter of the alphabet?"
The response is:
"The first letter of the alphabet is:
- A.
"
And if you're asking because of the video, yes I am a arch btw.
Comment and like this post for a GitHub link and comment for adding other models!
  • 47 replies
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Banaxi-Techย 
posted an update 15 days ago
arthu1ย 
updated a Space 17 days ago
arthu1ย 
published a Space 17 days ago
Banaxi-Techย 
posted an update 17 days ago
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169
u guys want bananamind 2 ultra?
reply for bananamind 2 ultra want
  • 1 reply
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Banaxi-Techย 
posted an update 18 days ago
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3246
We did an experiment, we wanted to see if AI is good enough to train models.
We used GPT 5.6 Sol Max for this because its one of the most powerful ones right now.
Our instructions were, it should write the training code, and start the training process and monitor it by itself.
We also gave it a link to BananaMind 2 Mini to get our architecture right.
The result: It worked, it made the working BananaMind 2 Nano, and even beat our previous MiniBananaMind v4 9M.
Its getting way easier to develop your own models now!
  • 8 replies
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LH-Tech-AIย 
posted an update 19 days ago
Banaxi-Techย 
posted an update 19 days ago
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2327
We're excited to release BananaMind 2 Pro Preview, our best model yet.
Trained on ~52B tokens it performs extremely good for its token and size class.
We trained it on a single 5070 Ti in about 11 days.
Check it out at BananaMind/BananaMind-2-Pro-Preview.
Sadly we need to delay BananaMind 2 Micro until the launch of the final BananaMind 2 Pro.
We will release the final checkpoint with 100B tokens in ~11 days.
Go and fine-tune it!
We've also released BananaMind 2 Pro Preview Chat which is the instruct version of it!
BananaMind/BananaMind-2-Pro-Preview-Chat

Follow us to know when the final releases and support us at
BananaMind
@Banaxi-Tech
  • 5 replies
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AxionLab-officialย 
posted an update 19 days ago
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3502
Tommorow we are releasing Supra2-Pro(100M params), our flagship, get ready!

(follow SupraLabs to get tuned in!)
SupraLabs
  • 9 replies
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