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Aramis-2B-BitNet-bf16

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jpacifico commited on Aug 25, 2025

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 # Model Summary
 **Aramis-2B-BitNet** *(2.41B params / Context Length: Maximum sequence length of 4096 tokens)*
-A compact, agent-oriented small language model focused on language understanding and contextual decision-making.
 Built with an iterative post-training recipe: bilingual DPO (FR+EN) + model merging of FR-centric and EN-centric variants.
 Runs natively as BitNet 1.58-bit (ternary) and is available in GGUF 1.58-bit, lossless to the BF16 checkpoint.

 # Model Summary
 **Aramis-2B-BitNet** *(2.41B params / Context Length: Maximum sequence length of 4096 tokens)*
+A compact, agent-oriented small language model focused on contextual reasoning, language understanding and multi-turn instruction following.
 Built with an iterative post-training recipe: bilingual DPO (FR+EN) + model merging of FR-centric and EN-centric variants.
 Runs natively as BitNet 1.58-bit (ternary) and is available in GGUF 1.58-bit, lossless to the BF16 checkpoint.