llamacpp-for-kobold
gpt4all
llamacpp-for-kobold | gpt4all | |
---|---|---|
8 | 139 | |
96 | 64,686 | |
- | 2.7% | |
10.0 | 9.8 | |
about 1 year ago | 3 days ago | |
C | C++ | |
GNU Affero General Public License v3.0 | MIT License |
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llamacpp-for-kobold
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[Kobold Ai] Einführung von llamacpp-for-kobold, führen Sie llama.cpp lokal mit einer schicken Web-Benutzeroberfläche, dauerhaften Geschichten, Bearbeitungswerkzeugen, Speicherformaten, Speicher, Weltinformationen, Anmerkung des Autors, Charakteren, Szenarien und mehr mit minimalem Setup aus.
Geben Sie llamacpp-for-kobold ein
- Künstliche Intelligenz: Italien sperrt ChatGPT
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LLAMA Experience so far
30b (alpacacpp and Kobold-TavernAI on windows, this one)
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Using llama.cpp, how to access API?
I am the creator of https://github.com/LostRuins/llamacpp-for-kobold . It runs a local http server serving a koboldai compatible api with a built in webui. Compatible with all llama.cpp and alpaca.cpp models.
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My experience with Alpaca.cpp
I don't know if anything like that exists. There is this project that I played around with at one point if that helps at all.
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Alpaca.cpp is extremely simple to get working.
Try this https://github.com/LostRuins/llamacpp-for-kobold
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Introducing llamacpp-for-kobold, run llama.cpp locally with a fancy web UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and more with minimal setup
What does it mean? You get an embedded llama.cpp with a fancy writing UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and everything Kobold and Kobold Lite have to offer. In a tiny package (under 1 MB compressed with no dependencies except python), excluding model weights. Simply download, extract, and run the llama-for-kobold.py file with the 4bit quantized llama model.bin as the second parameter.
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Introducing llamacpp-for-kobold, run llama.cpp locally with a fancy web UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and more with minimal setup.
Enter llamacpp-for-kobold
gpt4all
- Show HN: I made an app to use local AI as daily driver
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Ollama Python and JavaScript Libraries
I don’t know if Ollama can do this but https://gpt4all.io/ can.
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Gpt4all is a local desktop app with a Python API that can be trained on your documents: https://gpt4all.io/
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WyGPT: Minimal mature GPT model in C++
The readme page is cryptic. What does 'mature' mean in this context? What is the sample text a continuation of?
Hving a gif the thing in use would be great, similar to the gpt4all readme page. (https://github.com/nomic-ai/gpt4all)
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LibreChat
Check https://github.com/nomic-ai/gpt4all instead.
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OpenAI Negotiations to Reinstate Altman Hit Snag over Board Role
"I ran performance tests on two systems, here's the results of system 1, and heres the results of system 2. Summarize the results, and build a markdown table containing x,y,z rows."
"extract the reusable functions out of this bash script"
"write me a cfssl command to generate a intermediate CA"
"What is the regex for _____"
"Here are my accomplishments over the last 6 months, summarize them into a 1 page performance report."
etc etc etc
If you're not using GPT4 or some LLM as part of your daily flow you're working too hard.
Get GPT4All (https://gpt4all.io), log into OpenAI, drop $20 on your account, get a API key, and start using GPT4.
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Darbe uzdraude naudotis CHATGPT: ar cia normalu?
offline versija, nors ir ne tokia pažengus - https://github.com/nomic-ai/gpt4all ; https://gpt4all.io/index.html
- GPT4All: An ecosystem of open-source on-edge large language models - by Nomic AI
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Why use OpenAI's ChatGPT3.5 online service, if you can instead host your own local llama?
Take a look at https://gpt4all.io, their docs are pretty awesome
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Ask HN: Are you using a local LLM? If yes, what for?
I run one. I built an iMessage-like frontend to it using plain JS and a Python websocket backend. I mostly just use it for curiosity and playing with different prompts. I only have 16GB of RAM to dedicate to it, so I use an 8B parameter model which is enough for fun and chitchat, but I don't find it good enough to replace ChatGPT.
https://github.com/nomic-ai/gpt4all
What are some alternatives?
llama.cpp - LLM inference in C/C++
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
koboldcpp - Port of Facebook's LLaMA model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
TavernAI - TavernAI for nerds [Moved to: https://github.com/Cohee1207/SillyTavern]
alpaca_lora_4bit