---
license: apache-2.0
language:
  - en
pipeline_tag: text-generation
tags:
  - reasoning
  - math
  - coding
  - distillation
  - small-model
---

# DeepBrainz R1-0.6B

**DeepBrainz R1-0.6B** is a compact, reasoning-focused language model designed for efficient problem-solving in **mathematics, logic, and code-related tasks**.

Despite its small size, R1-0.6B emphasizes **structured reasoning**, **stepwise problem decomposition**, and **stable generation behavior**, making it well-suited for research, education, and lightweight deployment scenarios.

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## Model Highlights

- Compact **0.6B parameter** model optimized for efficiency
- Strong focus on **reasoning-oriented tasks**
- Stable long-form generation for its size class
- Compatible with standard Hugging Face inference tooling

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## Intended Use

This model is intended for:
- Research and experimentation in reasoning-focused LLMs
- Educational use and demonstrations
- Lightweight inference environments
- Building blocks for agentic or tool-augmented systems

It is **not** intended as a general-purpose chat replacement for larger frontier models.

---

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "DeepBrainz/deepbrainz-r1-0.6b"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

prompt = "Solve step by step: If x + 3 = 7, what is x?"
inputs = tokenizer(prompt, return_tensors="pt")

outputs = model.generate(
    **inputs,
    max_new_tokens=256,
    temperature=0.6,
    top_p=0.95,
    do_sample=True,
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

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## Training & Alignment

R1-0.6B was trained using modern post-training techniques emphasizing reasoning quality and generation stability.
Specific training details are intentionally abstracted in this public-facing release.

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## Limitations

Performance is constrained by model size
Not optimized for open-ended conversational chat
Best for short-to-medium complexity reasoning tasks

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## License

Apache 2.0

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## About DeepBrainz

DeepBrainz builds reasoning-first AI systems focused on efficiency, structure, and real-world problem-solving.

More evaluations and updates will follow in future releases.