# SBD

**SBD** is an independent AI research and development project focused on building practical, accessible language models for **coding, conversation, and software development**.

Our goal is to experiment with smaller, efficient models that can run locally while still providing useful capabilities for developers and everyday users.

## 🤖 Models

### SBD4.5

**SBD4.5** is a ~3B parameter coding and conversational language model.

It is designed for:

- 💻 Code generation
- 🐛 Debugging
- 🦀 Rust programming
- 💬 General conversation
- 📚 Code explanation
- 🔧 Software-development assistance
- ✨ Code completion
- 🧠 Technical question answering


## 🎯 Goals

SBD focuses on:

- Creating capable small language models
- Improving coding assistance
- Making models easier to run locally
- Supporting open model formats such as GGUF
- Experimenting with efficient training and fine-tuning
- Building models that work well with tools such as LM Studio and llama.cpp
- Making AI development more accessible

## 🧪 Research & Development

Models published by SBD may be experimental.

We regularly test:

- New datasets
- Training strategies
- Fine-tuning techniques
- Quantization methods
- Prompt formats
- Coding performance
- Local inference

Because of this, capabilities may differ between model versions.

## 📦 Model Formats

Depending on the release, SBD models may be available in:

- Hugging Face Transformers / SafeTensors
- GGUF
- Quantized GGUF variants
- Full-precision checkpoints

Common GGUF releases may include:

- `Q8_0`
- `Q6_K`
- `Q5_K_M`
- `Q4_K_M`

## 📊 Datasets

SBD experiments with coding and conversational datasets.

SBD4.5 uses coding data including:

**Convence/Rust-Coder**

https://huggingface.co/datasets/Convence/Rust-Coder

Additional datasets may be used for future model versions.

## 🔓 Open Source

We aim to make SBD models easy to experiment with and run locally.

Unless stated otherwise on an individual model page, SBD models are released under permissive open-source licenses.

For example, **SBD4.5 is released under Apache License 2.0.**

Always check the individual model card for the exact license and usage conditions.

## ⚠️ Experimental Models

SBD models can produce:

- Incorrect information
- Non-compiling code
- Bugs
- Hallucinated APIs
- Insecure code
- Unexpected responses

Generated code should always be reviewed and tested before being used in production.

## 🚀 SBD Model Series

The SBD model family represents our ongoing experimentation with local and developer-focused AI.

Current generation:

> **SBD4.5 — 3B Coding & Chat Model**

More models, datasets, quantizations, and tools may be released as the project develops.

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### Build. Experiment. Improve.

**SBD**