Update README.md

README.md

@@ -1,70 +0,0 @@
----
-language:
-- en
-thumbnail: null
-tags:
-- text generation
-- instruct
-pipeline_tag: text-generation
-inference: false
-license: llama2
-datasets:
-- PygmalionAI/PIPPA
-- Open-Orca/OpenOrca
-- Norquinal/claude_multiround_chat_30k
-- jondurbin/airoboros-gpt4-1.4.1
-- databricks/databricks-dolly-15k
----
-<h1 style="text-align: center">Pygmalion-2 7B</h1>
-<h2 style="text-align: center">An instruction-tuned Llama-2 biased towards fiction writing and conversation.</h2>
-
-## Model Details
-
-The long-awaited release of our new models based on Llama-2 is finally here. Pygmalion-2 7B (formerly known as Metharme) is based on
-[Llama-2 7B](https://huggingface.co/meta-llama/llama-2-7b-hf) released by Meta AI. 
-
-The Metharme models were an experiment to try and get a model that is usable for conversation, roleplaying and storywriting, 
-but which can be guided using natural language like other instruct models. After much deliberation, we reached the conclusion
-that the Metharme prompting format is superior (and easier to use) compared to the classic Pygmalion. 
-
-This model was trained by doing supervised fine-tuning over a mixture of regular instruction data alongside roleplay, fictional stories
-and conversations with synthetically generated instructions attached.
-
-This model is freely available for both commercial and non-commercial use, as per the Llama-2 license.
-
-
-## Prompting
-
-The model 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.
-
-### Prompting example
-
-The system prompt has been designed to allow the model to "enter" various modes and dictate the reply length. Here's an example:
-
-```
-<|system|>Enter RP mode. Pretend to be {{char}} whose persona follows:
-{{persona}}
-
-You shall reply to the user while staying in character, and generate long responses.
-```
-
-## Dataset
-The dataset used to fine-tune this model includes our own [PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA), along with several other instruction
-datasets, and datasets acquired from various RP forums.
-
-## Limitations and biases
-
-The intended use-case for this model is fictional writing for entertainment purposes. Any other sort of usage is out of scope.
-
-As such, it was **not** fine-tuned to be safe and harmless: the base model _and_ this fine-tune have been trained on data known to contain profanity and texts that
-are lewd or otherwise offensive. It may produce socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive.
-Outputs might often be factually wrong or misleading.
-
-## Acknowledgements
-We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
-
-[<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)