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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- reasoning
- math
- coding
- distillation
- small-model
---
# DeepBrainz-R1-0.6B-Exp
**DeepBrainz-R1-0.6B-Exp** 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-Exp emphasizes experimental **structured reasoning**, **stepwise problem decomposition**, and **stable generation behavior**, making it well-suited for research, education, and lightweight deployment scenarios.
---
## 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
---
## 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-Exp"
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))
```
---
## Training & Alignment
R1-0.6B-Exp was trained using modern post-training techniques emphasizing reasoning quality and generation stability.
Specific training details are intentionally abstracted in this public-facing release.
---
## Limitations
Performance is constrained by model size
Not optimized for open-ended conversational chat
Best for short-to-medium complexity reasoning tasks
---
## License
Apache 2.0
---
## 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.
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