ai-guide
llama.cpp
| ai-guide | llama.cpp | |
|---|---|---|
| 4 | 777 | |
| 112 | 57,984 | |
| - | - | |
| 10.0 | 10.0 | |
| 11 months ago | about 21 hours ago | |
| C++ | ||
| - | MIT License |
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ai-guide
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WormGPT – The Generative AI Tool Cybercriminals Are Using
Read this a bit outdated article https://github.com/Crataco/ai-guide/blob/main/guide/original...
Or you can also see here https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderb...
- Now that sucks
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4-Apr-2023
Models guide (https://github.com/Crataco/ai-guide/blob/main/guide/models.md)
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State-of-the-art open-source chatbot, Vicuna-13B, just released model weights
Hi! Funnily enough I couldn't find much on it either, so that's exactly what I've been working on myself for the past few months: just in case this kind of question got asked.
I've recently opened a GitHub repository which includes information for both AI model series[0] and frontends you can use to run them[1]. I've also wrote a Reddit post that's messier, but a lot more technical[2].
I try to keep them as up-to-date as possible, but I might've missed something or my info may not be completely accurate. It's mostly to help get people's feet wet.
[0] - https://github.com/Crataco/ai-guide/blob/main/guide/models.m...
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?
marvin - ✨ Build AI interfaces that spark joy
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
gpt4all - gpt4all: run open-source LLMs anywhere
dalai - The simplest way to run LLaMA on your local machine
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
llama-tools - Tools for the LLaMA language model
ggml - Tensor library for machine learning
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM