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@@ -4,17 +4,19 @@ datasets:
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  - c-s-ale/alpaca-gpt4-data
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  pipeline_tag: text2text-generation
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  ---
 
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  <div style="width: 100%;">
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  <img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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  </div>
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  <div style="display: flex; justify-content: space-between; width: 100%;">
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  <div style="display: flex; flex-direction: column; align-items: flex-start;">
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- <p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p>
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  </div>
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  <div style="display: flex; flex-direction: column; align-items: flex-end;">
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- <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? Patreon coming soon!</a></p>
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  </div>
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  </div>
 
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  ## GPT4-Alpaca-LoRA_MLP-65B GPTQ
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  python llama.py gpt4-alpaca-lora_mlp-65B/HF/ c4 --wbits 4 --true-sequential --act-order --save_safetensors gpt4-alpaca-lora_mlp-65B/gptq/gpt4-alpaca-lora_mlp-65B-GPTQ-4bit.safetensors
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  ```
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- ## Want to support my work?
 
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- I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills.
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- So 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 various AI projects.
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- Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try.
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- * Patreon: coming soon! (just awaiting approval)
 
 
 
 
 
 
 
 
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  * Ko-Fi: https://ko-fi.com/TheBlokeAI
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- * Discord: https://discord.gg/UBgz4VXf
 
 
 
 
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  # Original model card
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  This repo provides the training checkpoint of LLaMA on the alpaca_data_gpt4 dataset via LoRA [MLP] on 8xA100(80G).
 
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  - c-s-ale/alpaca-gpt4-data
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  pipeline_tag: text2text-generation
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  ---
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+ <!-- header start -->
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  <div style="width: 100%;">
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  <img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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  </div>
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  <div style="display: flex; justify-content: space-between; width: 100%;">
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  <div style="display: flex; flex-direction: column; align-items: flex-start;">
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+ <p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p>
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  </div>
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  <div style="display: flex; flex-direction: column; align-items: flex-end;">
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+ <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
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  </div>
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  </div>
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+ <!-- header end -->
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  ## GPT4-Alpaca-LoRA_MLP-65B GPTQ
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  python llama.py gpt4-alpaca-lora_mlp-65B/HF/ c4 --wbits 4 --true-sequential --act-order --save_safetensors gpt4-alpaca-lora_mlp-65B/gptq/gpt4-alpaca-lora_mlp-65B-GPTQ-4bit.safetensors
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  ```
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+ <!-- footer start -->
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+ ## Discord
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+ For further support, and discussions on these models and AI in general, join us at:
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+ [TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)
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+ ## Thanks, and how to contribute.
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+ Thanks to the [chirper.ai](https://chirper.ai) team!
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+ 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.
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+ 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.
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+ Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
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+ * Patreon: https://patreon.com/TheBlokeAI
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  * Ko-Fi: https://ko-fi.com/TheBlokeAI
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+ **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.
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+ Thank you to all my generous patrons and donaters!
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+ <!-- footer end -->
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  # Original model card
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  This repo provides the training checkpoint of LLaMA on the alpaca_data_gpt4 dataset via LoRA [MLP] on 8xA100(80G).