Update README.md
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README.md
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@@ -34,8 +34,6 @@ As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7,
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- Number of Paramaters (Non-Embedding): 31.0B
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- Number of Layers: 64
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- Number of Attention Heads (GQA): 40 for Q and 8 for KV
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- Context Length: 131,072 tokens
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- Context Length: Full 131,072 tokens
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- Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2.5 for handling long texts.
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- Number of Paramaters (Non-Embedding): 31.0B
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- Number of Layers: 64
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- Number of Attention Heads (GQA): 40 for Q and 8 for KV
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- Context Length: Full 131,072 tokens
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- Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2.5 for handling long texts.
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