stanford_alpaca
character-editor
stanford_alpaca | character-editor | |
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108 | 50 | |
28,816 | 176 | |
0.7% | - | |
2.0 | 4.5 | |
about 2 months ago | about 1 year ago | |
Python | HTML | |
Apache License 2.0 | GNU General Public License v3.0 only |
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stanford_alpaca
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How Open is Generative AI? Part 2
Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
- Ask HN: AI/ML papers to catch up with current state of AI?
- OpenAI board in discussions with Sam Altman to return as CEO
- Are there any AI like ChatGPT without content restrictions?
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Fine-tuning LLMs with LoRA: A Gentle Introduction
In this article, we're going to experiment with LoRA and fine-tune Llama Alpaca using commercial hardware.
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Creating a new Finetuned model
Most papers I did read showed at least a thousand, even 10000 at several cases, so I assumed that to be the trend in the case of Low rank adapter(PEFT) training.(source: [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org) , Stanford CRFM (Alpaca) and the minimum being openchat/openchat · Hugging Face ; There are a lot more examples)
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Shock tick up for wage growth to 7.3% in blow for Bank of England
I'm not talking about OpenAI ChatGPT I'm talking about things ALPACA, and where did they train these models? Off the existing models for a fraction of a fraction of a fraction of the cost: https://crfm.stanford.edu/2023/03/13/alpaca.html
- Bye bye Bing
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The idea maze for AI startups (2015)
I think there's a new approach for “How do you get the data?” that wasn't available when this article was written in 2015. The new text and image generative models can now be used to synthesize training datasets.
I was working on an typing autocorrect project and needed a corpus of "text messages". Most of the traditional NLP corpuses like those available through NLTK [0] aren't suitable. But it was easy to script ChatGPT to generate thousands of believable text messages by throwing random topics at it.
Similarly, you can synthesize a training dataset by giving GPT the outputs/labels and asking it to generate a variety of inputs. For sentiment analysis... "Give me 1000 negative movie reviews" and "Now give me 1000 positive movie reviews".
The Alpaca folks used GPT-3 to generate high-quality instruction-following datasets [1] based on a small set of human samples.
Etc.
[0] https://www.nltk.org/nltk_data/
[1] https://crfm.stanford.edu/2023/03/13/alpaca.html
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Repos and tutorials for a full finetune (not LoRA)
AFAIK, the original alpaca repo was a full finetune. https://github.com/tatsu-lab/stanford_alpaca
character-editor
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On the KoboldAI Lite site, which AI modules are the currently best ones role playing in Adventure Mode or Story Mode?
And are there any useful tool like this one, but for creating adventures and stories? https://zoltanai.github.io/character-editor/
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How do I move a c.ai bot to janitor ai? Don’t need to move any saved chats, I just want to use bots I didn’t create on j.ai instead!
You're gonna go here: https://zoltanai.github.io/character-editor/
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Are there any extensive tutorials on creating characters, settings and models to use for SillyTavern
- best possible parameter settings for chat/role play (temperature, Rep. Pen.,Min Length, Top K, Top, etc.) - world builder: How is this done? - extensions -> Objective: What can I do with it and how is it done -> examples? - best possible Pygmalion Model for Chat/Roleplay on a 8GB VRAM Card - the most important one: How to build a character? I use AI Character editor for the creation of bots. How to set up a character with it correctly for use in ST? Are there better ones? As a bonus: How does this all apply to characters used in oobabooga?
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A small help
The editor is this one: https://zoltanai.github.io/character-editor/ About the collab, how does that work like, does it send you the same server or what it does?
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To whomever deleted the Miguel O’hara character
How; most ai sites have a download or export option. If not you can typically copy and paste their info into a file creator like this one.
- I learned how to make my bots act more in character and be more accurate 🥲🫠 10/10 worth the time, C++ for the win.
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How do I transfer chats from C.AI and other places?
If you would like to create a character card, I would suggest using this site. It's fairly self explanatory. You can load your json files onto here. Alternatively, if you just have the info but no file then click new character and just fill in the information. Once you get to the export part, you'll want to save it as the tavern character card option. It'll save the file in the image so when you upload it on the site, it'll fill out all the fields with the info.
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samantha-33b
As /u/LienniTa mentioned, character cards are incredibly useful, even for non-RP uses. A lot of folks use chat interfaces not for the RP aspect, but for the fine control over kept-context. It's also nice to have a face to associate with your different chatbots. Here's an online character card creator I use to create cards.
- A noob in the IA world
- How can I create a character in RisuAI?
What are some alternatives?
alpaca-lora - Instruct-tune LLaMA on consumer hardware
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
SillyTavern - LLM Frontend for Power Users.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
llama.cpp - LLM inference in C/C++
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
CAI-Tools
Alpaca-Turbo - Web UI to run alpaca model locally
characterai-dumper - Userscript to save your CharacterAI chats.