Update README.md

README.md

@@ -6,6 +6,17 @@ tags:
 model-index:
 - name: out
   results: []
+datasets:
+- cognitivecomputations/Dolphin-2.9
+- teknium/OpenHermes-2.5
+- m-a-p/CodeFeedback-Filtered-Instruction
+- cognitivecomputations/dolphin-coder
+- cognitivecomputations/samantha-data
+- HuggingFaceH4/ultrachat_200k
+- microsoft/orca-math-word-problems-200k
+- abacusai/SystemChat-1.1
+- Locutusque/function-calling-chatml
+- internlm/Agent-FLAN
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,6 +39,19 @@ The base model has 8k context, and the full-weight fine-tuning was with 4k seque
 
 It took 2.5 days on 8x L40S provided by Crusoe Cloud
 
+This model was trained FFT on all parameters, using ChatML prompt template format.
+
+example:
+
+```
+<|im_start|>system
+You are Dolphin, a helpful AI assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
 Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
 
 Dolphin is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
@@ -199,4 +223,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.0
 - Pytorch 2.2.2+cu121
 - Datasets 2.18.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1