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README.md
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- enterprise
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- 2b
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- long-context
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base_model: Qwen/Qwen3-2B
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library_name: transformers
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---
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# DeepBrainz-R1-2B
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**DeepBrainz-R1-2B
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This variant features a **32,768 token context window**, optimized for processing medium-to-long documents and codebases.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "DeepBrainz/DeepBrainz-R1-2B
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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- enterprise
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- 2b
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- long-context
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library_name: transformers
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---
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# DeepBrainz-R1-2B
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**DeepBrainz-R1-2B** is a compact, high-performance reasoning model engineered by **DeepBrainz AI & Labs**. It is part of the **DeepBrainz-R1 Series**, designed to deliver frontier-class reasoning capabilities in cost-effective parameter sizes.
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This variant features a **32,768 token context window**, optimized for processing medium-to-long documents and codebases.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "DeepBrainz/DeepBrainz-R1-2B"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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