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Text Generation

text-generation-inference

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docs: update README.md

#34

by eltociear - opened Dec 1, 2024

base: refs/heads/main

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from: refs/pr/34

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@@ -25,7 +25,7 @@ library_name: transformers
 - Training Stage: Pretraining & Post-training
 - Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
 - Number of Parameters: 32.5B
-- Number of Paramaters (Non-Embedding): 31.0B
 - Number of Layers: 64
 - Number of Attention Heads (GQA): 40 for Q and 8 for KV
 - Context Length: Full 32,768 tokens

 - Training Stage: Pretraining & Post-training
 - Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
 - Number of Parameters: 32.5B
+- Number of Parameters (Non-Embedding): 31.0B
 - Number of Layers: 64
 - Number of Attention Heads (GQA): 40 for Q and 8 for KV
 - Context Length: Full 32,768 tokens