---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- qwen3
- reasoning
- long-context
- enterprise
- research
- conversational
---

# DeepBrainz-R1-4B-16K

DeepBrainz-R1-4B-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 stability over long contexts**, while remaining efficient to deploy on modern GPU inference runtimes.

---

## Model Highlights

- ~4B 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-R1-4B-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 R1-4B-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.