Update README.md

README.md

@@ -10,7 +10,7 @@ Thanks to Mick for writing the `xor_codec.py` script which enables this process
 
 ## The Process
 
-Note: This process applies to `oasst-sft-6-llama-30b` model. The same process can be applied to other models in future, but the checksums will be different..
+Note: This process applies to `oasst-rlhf-2-llama-30b-7k-steps` model. The same process can be applied to other models in future, but the checksums will be different..
 
 To use OpenAssistant LLaMa-Based Models, you need to have a copy of the original LLaMa model weights and add them to a `llama` subdirectory here.
 
@@ -54,7 +54,7 @@ edd1a5897748864768b1fab645b31491  ./tokenizer_config.json
 Once you have LLaMa weights in the correct format, you can apply the XOR decoding:
 
 ```
-python xor_codec.py oasst-sft-6-llama-30b/ oasst-sft-6-llama-30b-xor/ llama30b_hf/
+python xor_codec.py oasst-rlhf-2-llama-30b-7k-steps/ oasst-rlhf-2-llama-30b-7k-steps-xor/ llama30b_hf/
 ```
 
 You should expect to see one warning message during execution:
@@ -63,24 +63,24 @@ You should expect to see one warning message during execution:
 
 This is normal. If similar messages appear for other files, something has gone wrong.
 
-Now run `find -type f -exec md5sum "{}" + > checklist.chk` in the output directory (here `oasst-sft-6-llama-30b`). You should get a file with exactly these contents:
+Now run `find -type f -exec md5sum "{}" + > checklist.chk` in the output directory (here `oasst-rlhf-2-llama-30b-7k-steps`). You should get a file with exactly these contents:
 
 ```
-970e99665d66ba3fad6fdf9b4910acc5  ./pytorch_model-00007-of-00007.bin
-659fcb7598dcd22e7d008189ecb2bb42  ./pytorch_model-00003-of-00007.bin
-ff6e4cf43ddf02fb5d3960f850af1220  ./pytorch_model-00001-of-00007.bin
+d08594778f00abe70b93899628e41246  ./pytorch_model-00007-of-00007.bin
+f11acc069334434d68c45a80ee899fe5  ./pytorch_model-00003-of-00007.bin
+9f41bd4d5720d28567b3e7820b4a8023  ./pytorch_model-00001-of-00007.bin
 27b0dc092f99aa2efaf467b2d8026c3f  ./added_tokens.json
-aee09e21813368c49baaece120125ae3  ./generation_config.json
-740c324ae65b1ec25976643cda79e479  ./pytorch_model-00005-of-00007.bin
-f7aefb4c63be2ac512fd905b45295235  ./pytorch_model-00004-of-00007.bin
+148bfd184af630a7633b4de2f41bfc49  ./generation_config.json
+b6e90377103e9270cbe46b13aed288ec  ./pytorch_model-00005-of-00007.bin
+4c5941b4ee12dc0d8e6b5ca3f6819f4d  ./pytorch_model-00004-of-00007.bin
 eeec4125e9c7560836b4873b6f8e3025  ./tokenizer.model
-369df2f0e38bda0d9629a12a77c10dfc  ./pytorch_model-00006-of-00007.bin
-27b9c7c8c62db80e92de14724f4950f3  ./config.json
+2c92d306969c427275f34b4ebf66f087  ./pytorch_model-00006-of-00007.bin
+9a4d2468ecf85bf07420b200faefb4af  ./config.json
 deb33dd4ffc3d2baddcce275a00b7c1b  ./tokenizer.json
-76d47e4f51a8df1d703c6f594981fcab  ./pytorch_model.bin.index.json
+13a3641423840eb89f9a86507a90b2bf  ./pytorch_model.bin.index.json
 ed59bfee4e87b9193fea5897d610ab24  ./tokenizer_config.json
-130f5e690becc2223f59384887c2a505  ./special_tokens_map.json
-ae48c4c68e4e171d502dd0896aa19a84  ./pytorch_model-00002-of-00007.bin
+704373f0c0d62be75e5f7d41d39a7e57  ./special_tokens_map.json
+ed991042b2a449123824f689bb94b29e  ./pytorch_model-00002-of-00007.bin
 ```
 
 If so you have successfully decoded the weights and should be able to use the model with HuggingFace Transformers.