Release DeepBrainz-R1 reasoning-first SLMs
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README.md
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library_name: transformers
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---
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# DeepBrainz-R1-4B
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- long-context
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- 32k
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library_name: transformers
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---
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### 🚀 Introducing DeepBrainz-R1 — Reasoning-First Small Language Models for Agentic Systems
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Today we’re releasing **DeepBrainz-R1**, a family of **reasoning-first Small Language Models (SLMs)** designed for **agentic AI systems in real-world production**.
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Agentic systems don’t ask once — they reason repeatedly. Tool calls, verification loops, schema-constrained outputs, retries, and long-context planning fundamentally change the economics and reliability requirements of language models. LLM-only stacks struggle under this load.
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DeepBrainz-R1 is built from the opposite premise:
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> **Reasoning is a trained behavior, not an emergent side-effect of scale.**
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#### What DeepBrainz-R1 is designed for
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* **Repeatable multi-step reasoning**, not one-shot chat
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* **Agent-compatible behavior**: tool use, structured outputs, low-variance reasoning
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* **Production economics**: lower latency, predictable cost, deployability
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* **Inference-time scalability**: compute where needed, not everywhere
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#### The R1 lineup
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* **DeepBrainz-R1-4B** — *Flagship production model*
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Best starting point for reliable agentic systems.
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* **DeepBrainz-R1-2B** — *Balanced production model*
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Strong reasoning with lower cost and latency.
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* **DeepBrainz-R1-0.6B-v2** — *Canonical small model*
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Cost-efficient baseline for small-model agent workloads.
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* **Long-context variants (16K / 40K)** — early and experimental
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* **Research checkpoints** — raw artifacts for ablation and evaluation
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* **Community quantizations (GGUF, low-bit)** — community-maintained, not officially supported
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We publish **supported releases, experimental variants, and research checkpoints separately** to keep expectations clear for builders, enterprises, and researchers.
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#### Why now
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2026 is the year agentic AI stops being a demo and starts becoming infrastructure. Infrastructure cannot rely on LLM-only economics or LLM-only reliability.
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**Reasoning-first SLMs are the only viable path to scaling agents sustainably.**
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— **DeepBrainz AI & Labs**
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---
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# DeepBrainz-R1-4B
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