CodeSoft/slm-arena-data
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CodeSoft PRO
CodeSoft
AI & ML interests
Working on small language models
Recent Activity
updated a bucket about 21 hours ago
CodeSoft/slm-arena-data liked a model 1 day ago
AxionML/Qwen3.5-0.8B-Base-NVFP4Organizations
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reacted to Bc-AI's post with 🔥 1 day ago
Post
3689
New update! We are currently training a few new models now! Our 3rd generation main LLM standard edition is in training right now. We are also training a new LLM line called Tiny Coder around 350~ish M params. Thanks to @Banaxi-Tech for inspiring the architecture with his Bananamind-2.1-unified test model. Thanks to our beta testers: @juiceb0xc0de @ProCreations @Sbui503 @Fishtiks @MUK-IS-GOAT
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posted an update 2 days ago
Post
1483
CodeSoft/sorbet-25m is out! Works out of the box with Transformers and llama.cpp
- GGUFs at CodeSoft/sorbet-25m-gguf
- Sorbet-25M-v2 (and its chat-tuned version) is in progress :)
- GGUFs at CodeSoft/sorbet-25m-gguf
- Sorbet-25M-v2 (and its chat-tuned version) is in progress :)
- 13 replies
Add sorbet-25m
#95 opened 2 days ago
by CodeSoft
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Suggest the attrition of a button that says that both models are wrong
1
#1 opened 2 days ago
by 
FlameF0X
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reacted to Banaxi-Tech's post with 🔥 3 days ago
Post
3745
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
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:
@Banaxi-Tech
@vovaRL
@DedeProGames
- 10 replies
posted an update 3 days ago
Post
127
Just finished a new project, CodeSoft/SLM-Arena ! It's like arena.ai but for SLMs, with a similar blind voting and Elo system. Currently has:
- BananaMind 2 Medium Chat from BananaMind
- Supra 2 100M Instruct from
SupraLabs
- SmolLM2 135M Instruct from
HuggingFaceTB
- MetaDiffusion-150M-ChatBase
Feel free to suggest ideas for models to add or any changes to the arena to make it better!
- BananaMind 2 Medium Chat from
- Supra 2 100M Instruct from
- SmolLM2 135M Instruct from
- MetaDiffusion-150M-ChatBase
Feel free to suggest ideas for models to add or any changes to the arena to make it better!
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