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User01110

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reacted to Banaxi-Tech's post with 🔥 about 15 hours ago

We're going to release our BananaMind 2.1 models very soon! We're also announcing 2 new models. All of our models we will train are: BananaMind 2.1 Flash Lite, 10M parameters with 8M in transformer and 2M in n-gram. 50B pretraining tokens. BananaMind 2.1 Lite with 25M parameters, 5M in n-gram and 20M in transformer. 75B pretraining tokens. BananaMind 2.1 Flash with 50M parameters, with undecided n-gram count yet. 100B pretraining tokens. BananaMind 2.1 Pro with 145M parameters, with undecided n-gram count yet. 150-200B pretraining tokens. BananaMind 2.1 Coder with 149M parameters with undecided n-gram count yet. We're now announcing BananaMind 2.1 NanoCoder, a 10M parameter model focused specifically on coding and BananaMind 2.1 MiniCoder which is a 25M parameter model focused on coding. Follow us: https://huggingface.co/BananaMind @Banaxi-Tech @vovaRL @DedeProGames https://huggingface.co/bananamind-research-community

liked a model about 16 hours ago

fromziro/TinyImageGen-0.6M

liked a model about 17 hours ago

SupraLabs/SupraGDN-5M

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reacted to Banaxi-Tech's post with 🔥 about 15 hours ago

Post

1878

We're going to release our BananaMind 2.1 models very soon!
We're also announcing 2 new models.

All of our models we will train are:
BananaMind 2.1 Flash Lite, 10M parameters with 8M in transformer and 2M in n-gram. 50B pretraining tokens.
BananaMind 2.1 Lite with 25M parameters, 5M in n-gram and 20M in transformer. 75B pretraining tokens.
BananaMind 2.1 Flash with 50M parameters, with undecided n-gram count yet. 100B pretraining tokens.
BananaMind 2.1 Pro with 145M parameters, with undecided n-gram count yet. 150-200B pretraining tokens.
BananaMind 2.1 Coder with 149M parameters with undecided n-gram count yet.
We're now announcing BananaMind 2.1 NanoCoder, a 10M parameter model focused specifically on coding and BananaMind 2.1 MiniCoder which is a 25M parameter model focused on coding.

Follow us:

BananaMind
@Banaxi-Tech
@vovaRL
@DedeProGames

bananamind-research-community

5 replies

liked a model about 16 hours ago

fromziro/TinyImageGen-0.6M

Unconditional Image Generation • 639k • Updated about 19 hours ago • 6

liked a model about 17 hours ago

SupraLabs/SupraGDN-5M

5.04M • Updated about 6 hours ago • 12

liked 2 models 1 day ago

RWKV/RWKV7-G1j-1.5B-20260831

Text Generation • 2B • Updated 1 day ago • 422 • 2

FWKV/Myosotis-1-base

Text Generation • 0.1B • Updated 1 day ago • 371 • 6

reacted to Banaxi-Tech's post with 🔥 2 days ago

Post

2828

We're excited to release BananaMind 2.1 Pico Preview!

It includes the first preview of our BananaMind 2.1 architecture!
This model gets near BananaMind 2 Micro performance at half the parameters and 37.5x less tokens!
Thats insane!

The current architectures includes about 500K parameters of the total 1.5M parameters in n-gram embeddings and the layer 2 is run twice.

It also includes XSA and the XSA refresh gate.

We're still going to improve the architecture in the final release.

Check it out at:

Follow us for more models:

BananaMind
@Banaxi-Tech
@vovaRL
@DedeProGames

3 replies

liked a model 3 days ago

DedeProGames/Kiyo-135M

Text Generation • 0.1B • Updated 3 days ago • 619 • 5

reacted to Hoglet-33's post with 🔥 4 days ago

Post

3256

Pebble 10M and Pebble 10M Chat are now released!

Both models use our Mamba/Transformer 3:1 hybrid architecture and were pretrained on 25 billion tokens.

Pebble 10M Chat was additionally fine-tuned on 250 million tokens of Smol-SmolTalk to improve its conversational capabilities.

You can find them here:

- basically-ai/Pebble-10M
- basically-ai/Pebble-10M-Chat

We hope you enjoy using them. The rest of the Pebble family will be released soon.

Follow for more:
@Hoglet-33

basically-ai

29 replies

reacted to Banaxi-Tech's post with 🚀 4 days ago

Post

3423

Introducing BananaMindOS 3.0

- Complete modern UI redesign
- Adds support for Qwen3.5 0.8B, LFM2.5 230M,350M, SmolLM2 360M, Gemma 3 270M.
- Adds Q7,Q6,Q5,Q3,Q1 quantization formats with a easy to use precision slider
- And more!

The new UI includes:
- New 1024×768 High Quality interface.
- Photographic QOI background.
- Transparent BananaMind, CPU, cube, mouse, and Send icons.
- Proper bitmap cursor.
- Rounded translucent panels and cards.
- Modern model-loading progress window.
- Redesigned inference screen with response and prompt panels.
- Localized redraws for the cursor, clicks, loading progress, and precision slider.

Notice: Qwen3.5 0.8B currently generates garbled text, it will be fixed tomorrow.

See it for yourself
Now Available at https://github.com/BananaMind/BananaMindOS

Prebuild ISOs coming soon!

(also press ? + G if you want to load try to load a 6MB RAM model on 5MB may break)

7 replies

liked a model 4 days ago

Dream-W/ObsidianSmall-Base

Text Generation • 9.77M • Updated 26 days ago • 335 • 4

reacted to appvoid's post with 🔥 4 days ago

Post

3275

Love how the small lm community is getting identity over time:

- Channel-Mixing
- XSA
- Three-tower
- Digit aware
- Loops

No one is doing the same! That's so cool.

36 replies

reacted to Banaxi-Tech's post with ❤️ 5 days ago

Post

3497

We're delaying BananaMind 2.1!
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.

We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!

We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.

Please give us a follow!

BananaMind
@Banaxi-Tech

---

@vovaRL
@DedeProGames

7 replies

liked a model 5 days ago

DALabCommunity/Haidass1.5-143M

0.1B • Updated 5 days ago • 139 • 15

reacted to appvoid's post with 🔥 7 days ago

Post

2626

Nobody knows what is doing, when you train a model, you are experimenting to advance the frontier, so keep failing 🫵

17 replies

liked a Space 7 days ago

Mr. Pong

🏓

Play table tennis against a PPO agent

liked a dataset 7 days ago

BananaMind/BananaMind-Safety-Bench-1.1

Viewer • Updated 7 days ago • 150 • 82 • 2

reacted to Hoglet-33's post with 🔥 8 days ago

Post

3040

We are announcing the first generation of the Pebble model family!

These are the models we are releasing:

- Pebble 10M
- Pebble 25M
- Pebble 50M

Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT.

Depending on development time and resources, we may also release:

- Pebble 5M
- Pebble 75M
- Pebble 1M (possibly)

We hope you're excited and enjoy the models!

Follow for more:
@Hoglet-33

basically-ai

7 replies

upvoted a collection 8 days ago

GPT-X Collection

Collection

Collection of all models in the GPT-X family • 3 items • Updated 8 days ago • 2

liked a Space 8 days ago

BananaMindBench Leaderboard

🍌

Explore and compare language model benchmark rankings

reacted to Banaxi-Tech's post with 🔥 8 days ago

Post

2871

We’re excited to release BananaMind OS 2.0, a major update to our portable operating system for running AI models locally.

BananaMind OS runs directly from an ISO without Linux, installation, a cloud connection, or modifying your disks.

The new Version 2.0 adds a graphical interface with mouse support, a model library, multi-turn chat, configurable KV cache, maximum tokens and temperature
controls, automatic x87/SSE/SSE2 CPU detection, BIOS support, native UEFI support and a dedicated 486 compatibility mode.

Model weights are not loaded during GRUB or startup. Only the model catalog is read, and the selected model is loaded after BananaMind OS starts.

We now have a new .litemodel format supports multiple architectures, including BananaMind models, SmolLM, SmolLM2, GPT-X2.5, min-spark 1.1 and Rose-Mini.
Check it out at:
https://github.com/BananaMind/BananaMindOS

You can build an ISO yourself using the .sh or .bat script. Select the models and quantizations you want, and the builder will download, quantize
and package them locally.
Prebuilt 10MB, 25MB, 100MB and 250MB model presets are available here:
https://github.com/BananaMind/BananaMindOS/releases/tag/v2.0.0
Use the regular preset ISOs for BIOS and GRUB, including the 486 compatibility mode.

Warning: Im currently uploading the ISOs, all up to 100MB is present, 250MB is getting uploaded
Use the files ending in -uefi.iso for the native x86-64 UEFI graphical frontend and improved firmware mouse support.

The preset name describes the RAM class of the individual included models. Models remain on the ISO until selected, so including multiple models does not load all of them into RAM.
486DX with an x87 FPU, Pentium and newer x86 processors are supported. Modern x86-64 computers are supported through UEFI. It currently doesent support processors without an FPU.

Comment if you want me to run it on 0.04MHz (pls dont)

Video Credit:
Song: Matzan - Redesigned
Music provided by NoCopyrightSounds

3 replies

User_10

AI & ML interests

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Mr. Pong

BananaMindBench Leaderboard