Update README.md

README.md

@@ -23,7 +23,7 @@ pipeline_tag: text-generation
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     <div style="display: flex; flex-direction: column; align-items: flex-start;">
-        <p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p>
+        <p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p>
     </div>
     <div style="display: flex; flex-direction: column; align-items: flex-end;">
         <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
@@ -100,7 +100,9 @@ Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](http
 <!-- footer start -->
 ## Discord
 
-For further support, and discussions on these models and AI in general, join us at: [TheBloke AI's Discord server](https://discord.gg/UBgz4VXf)
+For further support, and discussions on these models and AI in general, join us at:
+
+[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)
 
 ## Thanks, and how to contribute.
 
@@ -108,15 +110,16 @@ Thanks to the [chirper.ai](https://chirper.ai) team!
 
 I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
 
-If you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on new AI projects.
+If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
 
-Donaters will get priority support on any and all AI/LLM/model questions, plus other benefits.
+Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
 
 * Patreon: https://patreon.com/TheBlokeAI
 * Ko-Fi: https://ko-fi.com/TheBlokeAI
 
-**Patreon special mentions**: Aemon Algiz; Talal Aujan; Jonathan Leane; Illia Dulskyi; Khalefa Al-Ahmad; 
-senxiiz. Thank you all, and to all my other generous patrons and donaters.
+**Patreon special mentions**: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.
+
+Thank you to all my generous patrons and donaters!
 <!-- footer end -->
 
 # Original model card: OpenAccess AI Collective's Hippogriff 30B Chat
@@ -126,7 +129,7 @@ senxiiz. Thank you all, and to all my other generous patrons and donaters.
 [<img src="https://huggingface.co/openaccess-ai-collective/hippogriff-30b-chat/resolve/main/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
 
-Hippogriff 30B Chat is an experiment that builds on Manticore with new datasets, while removing a few more instruction and chat datasets. It also includes a de-duped subset of the Pygmalion dataset. It also removes all Alpaca style prompts using `###` in favor of 
+Hippogriff 30B Chat is an experiment that builds on Manticore with new datasets, while removing a few more instruction and chat datasets. It also includes a de-duped subset of the Pygmalion dataset. It also removes all Alpaca style prompts using `###` in favor of
 chat only style prompts using `USER:`,`ASSISTANT:` as well as [pygmalion/metharme prompting](https://huggingface.co/PygmalionAI/metharme-7b#prompting) using `<|system|>, <|user|> and <|model|>` tokens.
 
 Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/EqrvvehG) or email [wing@openaccessaicollective.org](mailto:wing@openaccessaicollective.org)
@@ -137,13 +140,13 @@ Hippogriff 30B Chat is a Llama 30B model fine-tuned on the following datasets
 
 - OpenAssistant/oasst1 - cleaned dataset, similar to Guanaco
 - synthetic jokes generation and explanation derived from reddit jokes dataset
-- synthetic prose generation and rewriting self-chat 
+- synthetic prose generation and rewriting self-chat
 - Q&A based on provided context
 - self instruct augmented logic_inference_oa
 - de-duped pygmalion dataset, filtered down to RP data, cleaned, english only, 25%
-- [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented 
+- [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented
 - hellaswag, updated for detailed explanations w 30K+ rows
-- [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented 
+- [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented
 - [ewof/code-alpaca-instruct-unfiltered](https://huggingface.co/datasets/ewof/code-alpaca-instruct-unfiltered) synthetic self chat dataset derived from about 1000 rows
 - [subset of QingyiSi/Alpaca-CoT for roleplay and CoT](https://huggingface.co/QingyiSi/Alpaca-CoT)
 - [GPTeacher-General-Instruct](https://huggingface.co/datasets/teknium/GPTeacher-General-Instruct)
@@ -169,22 +172,22 @@ A Spaces demo is not provided for this release due to 30B models currently not f
 
 ## Build
 
-Hippogriff was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 8xA100 80GB 
- - 1.5 epochs taking approximately 12 hours. No further epochs will be released. 
+Hippogriff was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 8xA100 80GB
+ - 1.5 epochs taking approximately 12 hours. No further epochs will be released.
 
 ## Bias, Risks, and Limitations
 
 Hippogriff has not been aligned to human preferences with techniques like RLHF or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so).
 Hippogriff was fine-tuned from the base model LlaMa 30B, please refer to its model card's Limitations Section for relevant information.
 
-The core functionality of Llama is taking a string of text and predicting the next token. While language models are widely used for tasks other than this, 
-there are a lot of unknowns with this work. When prompting Hippogriff it is important to remember that the statistically most likely next token is often 
+The core functionality of Llama is taking a string of text and predicting the next token. While language models are widely used for tasks other than this,
+there are a lot of unknowns with this work. When prompting Hippogriff it is important to remember that the statistically most likely next token is often
 not the token that produces the most "accurate" text. Never depend upon Hippogriff to produce factually accurate output.
 
 Llama was trained on the Pile, a dataset known to contain profanity, lewd, and otherwise abrasive language. Depending upon use case Hippogriff may produce
 socially unacceptable text. See Sections 5 and 6 of the Pile paper for a more detailed analysis of the biases in the Pile.
 
-As with all language models, it is hard to predict in advance how Hippogriff will respond to particular prompts and offensive content may occur without warning. 
+As with all language models, it is hard to predict in advance how Hippogriff will respond to particular prompts and offensive content may occur without warning.
 We recommend having a human curate or filter the outputs before releasing them, both to censor undesirable content and to improve the quality of the results.
 
 ## Examples
@@ -193,7 +196,7 @@ TBD
 
 ```
 USER: write an original short story of at least 300 words in the style of Zora Neale Hurston. Incorporate the following literary devices: Euphemism and Foreshadowing.
-ASSISTANT: Once upon a time, there was a black girl named Rose, whose skin shined like a pearl beneath the hot sun. She lived with her mama and daddy on their farm, where they grew crops to feed the family and neighbors. On this particular day, Rose felt a tinge of excitement as she watched her parents work diligently in their fields. 'It's almost harvest season!' she thought, imagining the delicious meals that awaited them. But, soon after, it became apparent that something sinister lurked amidst the rows of fresh produce. 
+ASSISTANT: Once upon a time, there was a black girl named Rose, whose skin shined like a pearl beneath the hot sun. She lived with her mama and daddy on their farm, where they grew crops to feed the family and neighbors. On this particular day, Rose felt a tinge of excitement as she watched her parents work diligently in their fields. 'It's almost harvest season!' she thought, imagining the delicious meals that awaited them. But, soon after, it became apparent that something sinister lurked amidst the rows of fresh produce.
 
 As her father hoed around a vine-covered cucumber plant, he unearthed a peculiar rock. It was the size of an acorn but had a strange shape, unlike anything he or his wife had ever seen. "What have we here?" He said, turning to his wife with curiosity and excitement. She examined the rock for herself and declared, "Why, it looks like a piece of coal!" But as both mother and daughter looked closer, it seemed to be far more than a mere piece of coal. A sense of unease crept up Rose's spine when she noticed that the rock resembled the dark face of a baby in the womb. As Rose tried to suppress a scream, her mother gasped, "Sweet Jesus! Let's bury this thing before anyone sees!" And so, they quickly hid the stone back underground, hoping that nobody would ever discover their secret.
 ```