Create README.md

README.md

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+---
+datasets:
+  - ewof/koishi-instruct-metharme
+---
+
+## GPTQ
+
+4096 sequence length
+
+VMware/open-instruct dataset
+
+## Training
+
+[axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training
+on a 6x nvidia a40 gpu cluster.
+
+the a40 GPU cluster has been graciously provided by [Arc Compute](https://www.arccompute.io/).
+
+trained on koishi commit 6e675d1 for one epoch
+
+## Base Model
+
+rank 16 lora tune of mistralai/Mistral-7B-v0.1 (all modules, merged)
+
+## Prompting
+
+The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
+
+The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.