AI & ML interests
Pretraining, QAT, SLM, Overtraining, AI Interpretability.
Recent Activity
BananaMind AI
BananaMind AI builds practical AI models, tools, and experiments focused on local inference, mobile deployment, and efficient open-source AI.
Our work includes compact language models, speech models, vision models, safety tooling, and developer utilities designed to run on real hardware instead of only large cloud systems.
If you're interested, give us a follow.
Models
All BananaMind 2 models are decoder-only Transformers trained from scratch on a single RTX 5070 Ti, using digit-aware byte-level BPE tokenizers (digits are isolated so numbers never merge into single tokens), grouped-query attention with QK norm, SwiGLU, RoPE, RMSNorm and tied embeddings. They ship custom architecture code, so load them with trust_remote_code=True.
Try them in the browser
BananaMind 2 — Base
| Model | Params | Context | Vocab | Tokens | Notes |
|---|---|---|---|---|---|
| BananaMind-2-Pro-Preview (demo) | 139M | 3,072 | 32,768 | 51.9B / 100B | First public checkpoint of the ongoing Pro run (96K steps). INT Index 23.04, Base Bench 1.1 Elo 1106 |
| BananaMind-2-Medium (demo) | 49.6M | 3,072 | 12,288 | 50B | 39.27 benchmark average — HellaSwag 32.43, ARC-E 43.81, PIQA 61.86 |
| BananaMind-2-Mini | 25.2M | 4,096 | 8,192 | 30B | First model of the BananaMind 2 series |
| BananaMind-2-Nano | 10.0M | 4,096 | 8,192 | 30B | Smallest base model, 35.77 average |
BananaMind 2 — Chat
Instruction-tuned on smol-smoltalk with full-parameter SFT and assistant-only loss masking. System prompts and multi-turn conversations supported.
| Model | Params | Base model | Instruct Bench 1.1 Elo |
|---|---|---|---|
| BananaMind-2-Pro-Preview-Chat | 139M | Pro Preview | 888 |
| BananaMind-2-Medium-Chat | 49.6M | Medium | 787 |
| BananaMind-2-Mini-Chat | 25.2M | Mini | 654 |
| BananaMind-2-Nano-Chat | 10.0M | Nano | 643 |
Earlier generations
| Model | Params | Context | Tokens | Notes |
|---|---|---|---|---|
| BananaMind-1.5-Base | 75.1M | 4,096 | ~27B | Llama-style architecture, our first fully pretrained medium model |
Licensing: BananaMind 2 Pro Preview and Pro Preview Chat are released under the BananaMind Community License 1.0. All other models above are Apache 2.0.
Focus Areas
- Local and on-device AI
- Small and efficient language models
- Text-to-speech and audio generation
- Computer vision models
- Model quantization and optimization
- Open-source AI tooling
- Experiments with mobile AI apps
Naming Scheme
0.x > 1.0 > 1.1 (sometimes) > 1.5 > 1.7 (sometimes) > 2.0 > 2.1...
Partners
Projects
BananaMind AI hosts experimental and production-ready models for:
- Mobile-friendly AI assistants
- Local LLM inference
- Speech and TTS systems
- Face and vision detection
- AI safety and evaluation
- Developer tools for model testing
We believe AI shouldn't need a datacenter to be smart.
Upcoming Models
- BananaMind 2 Ultra!
- BananaMind 2.1, 2026 Q4
- BananaMind 3, Q1-Q2 2027
Join us
If you're into any of the following requirements and known in the community, press join button on the organization! Requirements: Pretraining, QAT, SLM, AI safety, AI Interpretability, benchmarks, datasets.
AI/ML Interests
Pretraining, QAT, SLM, AI safety, AI Interpretability, BCI.
Who we are
We are
- @Banaxi-Tech (founder)
- @vovaRL
- @DedeProGames
