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Update README.md

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@@ -11,13 +11,12 @@ tags:
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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-32K
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- **DeepBrainz-R1-2B-32K** 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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@@ -49,7 +48,7 @@ This variant features a **32,768 token context window**, optimized for processin
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_id = "DeepBrainz/DeepBrainz-R1-2B-32K"
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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(