---
license: apache-2.0
language:
  - en
pipeline_tag: text-generation
tags:
  - reasoning
  - long-context
  - enterprise
  - research
---

# DeepBrainz-R1-2B-16K

**DeepBrainz-R1-2B-16K** is a compact, long-context reasoning model in the
DeepBrainz-R series, designed for structured problem-solving, analysis,
and enterprise research workflows.

The model emphasizes **reasoning quality**, **instruction robustness**,
and **stable behavior over long contexts**, while remaining highly
cost-efficient to deploy.

---

## Model Highlights

- **1.7B parameters**
- **16K context length**
- Optimized for reasoning-centric math and coding tasks
- Designed for modern GPU inference runtimes
- **Architecture:** Qwen3-compatible (DeepBrainz-R series post-trained and optimized for reasoning-centric workloads)

---

## Intended Use

- Advanced reasoning systems
- Math and Coding
- Research and evaluation
- Agentic workflows
- Inference-time scaling and test-time compute experiments

Not intended as a general-purpose chat replacement for large frontier models.

---

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "DeepBrainz/DeepBrainz-R1-2B-16K"

tok = AutoTokenizer.from_pretrained(model_id)
mdl = AutoModelForCausalLM.from_pretrained(model_id)

prompt = "Solve step by step: If x + 5 = 12, what is x?"
inputs = tok(prompt, return_tensors="pt")

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

print(tok.decode(out[0], skip_special_tokens=True))
````

---

## Training Summary

The model was produced using a multi-stage optimization process involving
large-scale on-policy optimization and iterative refinement to improve reasoning
quality and robustness. Specific training details are intentionally
abstracted in this public release.

---

## Limitations

Performance depends on task complexity and inference configuration.
Larger models may outperform R1-2B-16K on extremely complex tasks.

---

## License

Apache 2.0

---

## About DeepBrainz

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