llama.cpp
yal-discord-bot
llama.cpp | yal-discord-bot | |
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775 | 5 | |
57,463 | 72 | |
- | - | |
10.0 | 6.5 | |
3 days ago | about 1 year ago | |
C++ | Python | |
MIT License | GNU General Public License v3.0 or later |
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llama.cpp
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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
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
yal-discord-bot
- I wrote a Discord bot to host your own ChatGPT-style chatbot with ALPACA finetuned LLaMA weights on consumer GPUs. 13b fits in a 3080, 30b fits in a 3090. No censorship, ask anything you want!
- [P] Discord Chatbot for LLaMA 4-bit quantized that runs 13b in <9 GiB VRAM
- Discord Chatbot for LLaMA 4-bit quantized that runs 13b in <9 GiB VRAM (r/MachineLearning)
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
signal-aichat - An AI chatbot for Signal powered by Google Bard, Bing Chat, ChatGPT, HuggingChat, and llama.cpp
gpt4all - gpt4all: run open-source LLMs anywhere
pifs - πfs - the data-free filesystem!
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
GPTQ-for-LLaMa
ggml - Tensor library for machine learning
chat-llama-discord-bot - A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM