PygDiscordBot
llama.cpp
| PygDiscordBot | llama.cpp | |
|---|---|---|
| 4 | 778 | |
| 59 | 57,984 | |
| - | - | |
| 6.8 | 10.0 | |
| 6 months ago | 3 days ago | |
| Python | C++ | |
| - | MIT License |
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PygDiscordBot
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hi i need help to adapt a code
you could try this one https://github.com/ausboss/PygDiscordBot it was supposed to be made for koboldai also join the KoboldAI discord theres a lot more people who are willing to help https://discord.gg/8dVfVyXd
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Can Pygmalion be run locally without a UI?
I made a discord chatbot too. This is what I used (I'm running it locally.) I'm pretty sure you can use any model available to you in Kobold.
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Pygmalion in discord
I'm not sure, but it seems to be what you're looking for? — https://github.com/ausboss/PygDiscordBot
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New character gallery extension [oobabooga web UI]
This is pretty neat. Is this going to be capable of running a Discord bot similar to KoboldAI? I've been using this github repo: https://github.com/ausboss/PygDiscordBot
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
What are some alternatives?
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
discord-openai-bot - A Discord chatbot that uses OpenAI's API to generate conversation.
gpt4all - gpt4all: run open-source LLMs anywhere
Discord-AI-Chatbot - This Discord chatbot is incredibly versatile. Powered incredibly fast Groq API
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
ggml - Tensor library for machine learning
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型