Update README.md

README.md

@@ -2,7 +2,7 @@
 license: apache-2.0
 ---
 Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
-https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b/blob/main/LICENSE
+https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
 
 
 We don't know how good this model is exactly in benchmarks since we have not benched this yet, but we think real prompts and usage is more telling anyways. 
@@ -19,19 +19,20 @@ We are happy for anyone to try it out and give some feedback.
 You can also try this model on our API at https://www.awanllm.com/
 
 
-Trained on 2048 sequence length, while the base model is 8192 sequence length. From testing it still performs the same 8192 context just fine.
+Training:
+- 2048 sequence length, while the base model is 8192 sequence length. From testing it still performs the same 8192 context just fine.
+- Trained on a modified and improved version of Cognitive Computations Eric Hartford's Dolphin dataset. https://huggingface.co/datasets/cognitivecomputations/dolphin
+- Training duration is around 2 days on 2x RTX3090 on our own machine, using 4-bit loading and Qlora 64-rank 128-alpha resulting in ~2% trainable weights.
 
-Trained using Cognitive Computations Eric Hartford's https://huggingface.co/datasets/cognitivecomputations/dolphin dataset as we've found great results from their dolphin models in previous Llama models.
 
-Trained for 2 days on 2x RTX3090 on our own machine, using 4-bit loading and Qlora 64-rank 128-alpha resulting in ~2% trainable weights.
-
-
-The goal for this model is to have the model less-censored and great at general tasks like the previous dolphin models by Eric Hartford.
-We started training this BEFORE they launched their own full weight trained Llama-3-8B-Dolphin-2.9 with their own curated datasets and the newer "Dolphin 2.9" dataset.
+The goal for this model is to have the model less-censored and great at general tasks like the previous dolphin based models by Eric Hartford.
+We started training this BEFORE they launched their own full weight trained Llama-3-8B-Dolphin-2.9 with their own curated datasets and the newer "Dolphin 2.9" dataset, but we think this model is still a unique take on Llama 3 8B Instruct and the dolphin dataset.
 https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b
 
 
-The difference is that we train this using Meta's new Llama 3 instruct format and not the regular ChatML format that Dolphin models are usually trained on. This is because we think that it might perform better using the format it was originally trained on.
+The difference with their dolphin 2.9 model is that we train this using Meta's new Llama 3 instruct format and not the regular ChatML format that Dolphin models are usually trained on. 
+This is because we think that it performed better using the format it was originally trained on.
+
 Instruct format:
 ```
 <|begin_of_text|><|start_header_id|>system<|end_header_id|>