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Qwen2.5-Coder-1.5B

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@@ -27,7 +27,7 @@ Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (
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  **This repo contains the 1.5B Qwen2.5-Coder model**, which has the following features:
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  - Type: Causal Language Models
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- - Training Stage: Pretraining & Post-training
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  - Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
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  - Number of Parameters: 1.54B
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  - Number of Paramaters (Non-Embedding): 1.31B
 
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  **This repo contains the 1.5B Qwen2.5-Coder model**, which has the following features:
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  - Type: Causal Language Models
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+ - Training Stage: Pretraining
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  - Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
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  - Number of Parameters: 1.54B
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  - Number of Paramaters (Non-Embedding): 1.31B