MiniGPT-4-discord-bot
llama.cpp
MiniGPT-4-discord-bot | llama.cpp | |
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1 | 788 | |
42 | 58,856 | |
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10.0 | 10.0 | |
about 1 year ago | 7 days ago | |
Python | C++ | |
BSD 3-clause "New" or "Revised" License | MIT License |
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MiniGPT-4-discord-bot
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MiniGPT-4
linear layer, and train just the tiny layer on some datasets of image-text pairs.
But the results are pretty amazing. It completely knocks Openflamingo && even the original blip2 models out of the park. And best of all, it arrived before OpenAI's GPT-4 Image Modality did. Real win for Open Source AI.
The repo's default inference code is kind of bad -- vicuna is loaded in fp16 so it can't fit on any consumer hardware. I created a PR on the repo to load it with int8, so hopefully by tomorrow it'll be runnable by 3090/4090 users.
I also developed a toy discord bot (https://github.com/152334H/MiniGPT-4-discord-bot) to show the model to some people, but inference is very slow so I doubt I'll be hosting it publicly.
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?
InternGPT - InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
MiniGPT-4 - Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
gpt4all - gpt4all: run open-source LLMs anywhere
llama.go - llama.go is like llama.cpp in pure Golang!
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ggml - Tensor library for machine learning
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM