DedeProGames/Kiyo-135M
Text Generation • 0.1B • Updated • 3
🏗️ Building on HF
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liked a model about 9 hours ago
DedeProGames/Kiyo-135M reacted to Banaxi-Tech's post with 🚀 1 day ago
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)Organizations
liked a
model about 9 hours ago
reacted to Hoglet-33's post with 🔥 about 22 hours ago
Post
1812
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
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
reacted to Banaxi-Tech's post with 🚀 1 day ago
Post
2426
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)
- 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 1 day ago
reacted to appvoid's post with 🔥 1 day ago
Post
3183
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.
- 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 ❤️ 2 days ago
Post
3441
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
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!
@Banaxi-Tech
---
@vovaRL
@DedeProGames
- 7 replies
liked a
model 3 days ago
reacted to appvoid's post with 🔥 4 days ago
Post
2596
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 5 days ago
liked a
dataset 5 days ago
reacted to Hoglet-33's post with 🔥 5 days ago
Post
2989
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
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
- 7 replies
upvoted a collection 5 days ago
liked a
Space 5 days ago
reacted to Banaxi-Tech's post with 🔥 5 days ago
Post
2864
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
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
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