Update README.md

README.md

@@ -6,5 +6,21 @@ datasets:
 - garage-bAInd/Open-Platypus
 ---
 
+# Instruction tune of Yi-34b with Open-Platypus (fp16)
 
-Full model card forthcoming...
+
+## Overview
+
+This is [chargoddard/Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama), with instruction tuning performed with the [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) dataset. That base model is [01-ai/Yi-34B](https://huggingface.co/01-ai/Yi-34B), but using llama2 model definitions and tokenizer to remove any remote code requirements.
+
+**This is a (merged) QLoRA fine-tune (rank 64)**. 
+
+The finetune was performed with 1x RTX 6000 Ada (~18 hours to this checkpoint). It is possible this is rather undertrained, as this checkpoint is at 1 epoch. I began to see some performance degradation after that; more hyperparameter tuning is probably warranted.
+
+## How to Use
+
+Use as you would any llama-2 model.
+
+## Prompting:
+
+Model was trained with legacy airoboros <2.0 system prompt. See [bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16](https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16) model card for details.