Update README.md

README.md

@@ -11,7 +11,7 @@ Trained on 2048 sequence length, while the base model is 8192 sequence length. F
 
 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.
+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.
@@ -31,6 +31,12 @@ Instruct format:
 {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 ```
 
+Quants:
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+GGUF:
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+ExllamaV2: 
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 [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
 Axolotl Config: