Update README.md

README.md

@@ -66,6 +66,8 @@ This model can be loaded with just over 10GB of VRAM (compared to the original 1
 
 The 8 bit GPTQ quant has minimum quality degradation from the original `bfloat16` model due to its higher bitrate.
 
+The `untrained-special-tokens-fixed` branch is the same model as the main branch but has special tokens and tokens untrained (by finding the tokens where max embedding value of each token in input_embeddings and output_embeddings is 0) and setting them to the average of all trained tokens for each feature. Using this branch is recommended if you plan to do any fine-tuning with your own tokens added or with instruction following.
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 ## GPTQ Quantization Method