Update README.md
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README.md
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@@ -33,7 +33,7 @@ Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (
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- Number of Paramaters (Non-Embedding): 13.1B
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- Number of Layers: 48
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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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- 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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**We do not recommend using base language models for conversations.** Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., or fill in the middle tasks on this model.
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| 33 |
- Number of Paramaters (Non-Embedding): 13.1B
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| 34 |
- Number of Layers: 48
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| 35 |
- Number of Attention Heads (GQA): 40 for Q and 8 for KV
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| 36 |
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- Context Length: Full 131,072 tokens
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| 37 |
- 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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**We do not recommend using base language models for conversations.** Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., or fill in the middle tasks on this model.
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