prep for 0.3.0 release

icppWorld · Sep 3, 2023 · 70e6a97 · 70e6a97
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diff --git a/README.md b/README.md
@@ -39,17 +39,9 @@ dfx canister call --network ic 4c4bn-daaaa-aaaag-abvcq-cai inference '(record {p
 ```
 
 
-## The LLMs included in this repo
-
-| LLM folder    | release | reference (commit sha)                                                     |
-| ------------- | --------| ---------------------------------------------------- |
-| [icpp_llama2](https://github.com/icppWorld/icpp-llm/tree/main/icpp_llama2)   | 0.1.0 | [karpathy/llama2.c](https://github.com/karpathy/llama2.c) (b28c1e26c5ab5660267633e1bdc910a43b7255bf) |
-|   | 0.2.0 | [karpathy/llama2.c](https://github.com/karpathy/llama2.c) (57bf0e9ee4bbd61c98c4ad204b72f2b8881ac8cd) |
-
-
 ## Instructions
 
-See the README in each LLM folder
+See the README in the icpp_llama2 folder
 
 
 ## Support

diff --git a/icpp_llama2/README.md b/icpp_llama2/README.md
@@ -104,9 +104,10 @@ For testing, it is nice to be able to work with a smaller model & tokenizer:
 
 # Fine tuning
 
-  When making your own checkpoint via fine-tuning, make sure to train with the correct version of karpathy/llama2.c:
+  When making your own checkpoint via fine-tuning, make sure to train with the correct version of [karpathy/llama2.c](https://github.com/karpathy/llama2.c):
 
-  | release | reference (commit sha)                                                     |
-  | --------| ---------------------------------------------------- |
-  | 0.1.0 | [karpathy/llama2.c](https://github.com/karpathy/llama2.c) (b28c1e26c5ab5660267633e1bdc910a43b7255bf) |
-  | 0.2.0 | [karpathy/llama2.c](https://github.com/karpathy/llama2.c) (57bf0e9ee4bbd61c98c4ad204b72f2b8881ac8cd) |
+  | release | commit sha                                |
+  | --------| ----------------------------------------- |
+  | 0.1.0   |  b28c1e26c5ab5660267633e1bdc910a43b7255bf |
+  | 0.2.0   |  57bf0e9ee4bbd61c98c4ad204b72f2b8881ac8cd |
+  | 0.3.0   |  b9fb86169f56bd787bb644c62a80bbab56f8dccc |