Tensora Curious 135M (TSC-135M)

"Curiosity is the beginning of intelligence."
Overview
Tensora Curious 135M (TSC-135M) is an experimental instruction-following language model developed by Tensoramax Lab.
Rather than pursuing model scale alone, Tensora Curious focuses on creating an AI that is lightweight, transparent, privacy-respecting, and practical for everyday developers. The project serves as the first public milestone toward the long-term Tensoramax Lab vision of building an open ecosystem of local AI models.
The model is built upon HuggingFaceTB/SmolLM2-135M-Instruct, with future iterations being progressively adapted through supervised fine-tuning and LoRA training.
Vision
Tensoramax Lab believes capable AI should not be limited to cloud infrastructure or expensive hardware.
Our long-term goals include:
- Offline-first AI
- Privacy-focused deployment
- Lightweight local models
- Transparent development
- Open research
- Community collaboration
- Developer-first tooling
- Continuous model improvement
Why Tensora Curious?
Large language models continue to grow in size and hardware requirements.
TSC explores another direction:
- Can a compact model remain genuinely useful?
- Can developers fine-tune it on modest hardware?
- Can students learn AI without enterprise infrastructure?
- Can privacy-first assistants run entirely on-device?
This project exists to explore those questions.
Planned Capabilities
Current roadmap includes:
- Natural conversation
- Programming assistance
- Code explanation
- Mathematics
- Scientific reasoning
- Writing assistance
- Documentation generation
- Educational tutoring
- Local AI assistant
- Offline inference
- Tensoramax ecosystem integration
Technical Overview
Table with columns: Property, Value| Property | Value |
|---|
| Model Name | Tensora Curious 135M |
| Alias | TSC-135M |
| Developer | Tensoramax Lab |
| Base Model | HuggingFaceTB/SmolLM2-135M-Instruct |
| Architecture | SmolLM2 |
| Parameters | 135 Million |
| Training Method | LoRA (planned) |
| Current Status | Alpha |
| License | Apache-2.0 (base model) |
Current Development Status
- ✅ Repository created
- ✅ Base model duplicated
- ✅ Documentation prepared
- ⏳ Dataset construction
- ⏳ LoRA fine-tuning
- ⏳ Local evaluation
- ⏳ GGUF export
- ⏳ Alpha release
Intended Use
Recommended:
- Education
- Coding experiments
- AI research
- Offline assistants
- Personal projects
- Rapid prototyping
Not recommended:
- High-risk decision making
- Medical advice
- Legal advice
- Financial decisions
- Safety-critical environments
Attribution
This repository contains a derivative work based on:
HuggingFaceTB/SmolLM2-135M-Instruct
Please refer to the original repository, paper, and license for details regarding the base model architecture and pretraining.
Tensoramax Lab claims authorship only over future fine-tuning, datasets, documentation, branding, and improvements added in this repository.
Acknowledgements
Special thanks to the Hugging Face team and the SmolLM2 researchers for releasing an open base model that enables independent research and experimentation.
Built with ❤️ by Tensoramax Lab