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  - small-model
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  ---
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- # DeepBrainz R1-0.6B
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- **DeepBrainz R1-0.6B** is a compact, reasoning-focused language model designed for efficient problem-solving in **mathematics, logic, and code-related tasks**.
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  Despite its small size, R1-0.6B emphasizes **structured reasoning**, **stepwise problem decomposition**, and **stable generation behavior**, making it well-suited for research, education, and lightweight deployment scenarios.
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@@ -45,7 +45,7 @@ It is **not** intended as a general-purpose chat replacement for larger frontier
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_id = "DeepBrainz/deepbrainz-r1-0.6b"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForCausalLM.from_pretrained(model_id)
 
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  - small-model
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  ---
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+ # DeepBrainz-R1-0.6B
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+ **DeepBrainz-R1-0.6B** is a compact, reasoning-focused language model designed for efficient problem-solving in **mathematics, logic, and code-related tasks**.
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  Despite its small size, R1-0.6B emphasizes **structured reasoning**, **stepwise problem decomposition**, and **stable generation behavior**, making it well-suited for research, education, and lightweight deployment scenarios.
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model_id = "DeepBrainz/DeepBrainz-R1-0.6B"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForCausalLM.from_pretrained(model_id)