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upload Baichuan models

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README.md CHANGED
@@ -3,14 +3,16 @@ license: mit
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  language: en
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  tags:
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  - LLM
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- - Baichuan-7B
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- - Baichuan-13B-base
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- - Baichuan-13B-chat
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- - Baichuan2-7B-base
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- - Baichuan2-13B-base
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- - Baichuan2-7B-chat
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- - Baichuan2-13B-chat
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  ---
 
 
 
 
 
 
 
 
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  ## Model Card for lyraBaichuan
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  lyraBaichuan is currently the **fastest Baichuan models** (Baichuan-7B, Baichuan-13B, Baichuan2-7B, Baichuan2-13B) available. The inference speed of lyraBaichuan has achieved up to **4300+ tokens/s** on A100, up to **2.4x** acceleration upon the torch version.
@@ -22,6 +24,8 @@ Among its main features are:
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  We use the Baichuan2-7B-Base and Baichuan2-13B-Base model for measurement, but this optimized inference is also applicable to other Baichuan models, including Baichuan-7B and Baichuan-13B.
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  ## Speed
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  * Evaluated at tokens/s
 
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  language: en
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  tags:
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  - LLM
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+ - baichuan
 
 
 
 
 
 
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  ---
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+ ## Special Notes
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+
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+ We have released **7 Baichuan models of lyra version** including Baichuan-7B, Baichuan-13B-Base, Baichuan-13B-Chat, Baichuan2-7B-Base, Baichuan2-7B-Chat, Baichuan2-13B-Base and Baichuan2-13B-Chat.
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+
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+ These highly optimized Baichuan models are suitable for Ampere (A100/A10) as well as Volta (V100).
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+
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+ If you like our work and consider to join us, feel free to drop a line at benbinwu@tencent.com.
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+
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  ## Model Card for lyraBaichuan
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  lyraBaichuan is currently the **fastest Baichuan models** (Baichuan-7B, Baichuan-13B, Baichuan2-7B, Baichuan2-13B) available. The inference speed of lyraBaichuan has achieved up to **4300+ tokens/s** on A100, up to **2.4x** acceleration upon the torch version.
 
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  We use the Baichuan2-7B-Base and Baichuan2-13B-Base model for measurement, but this optimized inference is also applicable to other Baichuan models, including Baichuan-7B and Baichuan-13B.
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+ We already
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+
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  ## Speed
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  * Evaluated at tokens/s
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+ [baichuan]
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+ model_name = Baichuan_13B_base
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+ head_num = 40
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+
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