alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM (by antimatter15)
dalai
The simplest way to run LLaMA on your local machine (by cocktailpeanut)
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| alpaca.cpp | dalai | |
|---|---|---|
| 94 | 59 | |
| 9,878 | 13,046 | |
| - | - | |
| 9.4 | 6.5 | |
| 12 months ago | 5 months ago | |
| C | CSS | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
alpaca.cpp
Posts with mentions or reviews of alpaca.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-31.
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LLaMA Now Goes Faster on CPUs
Where's the 30B-in-6GB claim? ^FGB in your GH link finds [0] which is neither by jart nor by ggerganov but by another user who promptly gets told to look at [1] where Justine denies that claim.
[0] https://github.com/antimatter15/alpaca.cpp/issues/182 -
Hollywood’s Screenwriters Are Right to Fear AI
Alpaca
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Alpaca Vs. Final Jeopardy
Models were run using CPU only and using alpaca.cpp
The model I found was in 8 parts. The alpaca.cpp chat client (chat.cpp) needs to be modified to run the 8 part model, documented here: https://github.com/antimatter15/alpaca.cpp/issues/149
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LocalAI: OpenAI compatible API to run LLM models locally on consumer grade hardware!
try the instructions on this github repo https://github.com/antimatter15/alpaca.cpp, its not the best one but I was able to run this model on my linux machine with 16GB memory, I think its a good starting point.
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ChatGPT Reignited My Passion For Coding
Ye, atm. toying with alpaca 7B/13B in a local install.
- Benchmarks for LLMs on Consumer Hardware
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KoboldCpp - Combining all the various ggml.cpp CPU LLM inference projects with a WebUI and API (formerly llamacpp-for-kobold)
All versions of ggml ALPACA models (legacy format from alpaca.cpp, and also all the newer ggml alpacas on huggingface)
- What's the difference between oobabooga vs llama.cpp vs fastgpt
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Fun with Alpaca 30B
Ah, so it is running 30b, but the name is just a semantic issue? Also, I’m running it using the antimatter download if that matters (https://github.com/antimatter15/alpaca.cpp/releases/tag/81bd894)
dalai
Posts with mentions or reviews of dalai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-14.
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Meta to release open-source commercial AI model
If you're just looking to play with something locally for the first time, this is the simplest project I've found and has a simple web UI: https://github.com/cocktailpeanut/dalai
It works for 7B/13B/30B/65B LLaMA and Alpaca (fine-tuned LLaMA which definitely works better). The smaller models at least should run on pretty much any computer.
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FreedomGPT: AI with no censorship
I am not against easy mode options dude, for example I used to run GANs through command line. I replaced them with Upscayl when I found it. Convenience is king after all. Something about this one isn't right though. They are advertising it as a model they built meanwhile their own github show it to be a frontend of LLAMA. Why aren't they honest about it? Why use bots to spam about it? This causes me to not trust the executable they share to 1 to 1 compliation of the source code neither. I would still recommend looking for more decent alternatives. Btw, running it directly isn't that complicated
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Google removes the waitlist on Bard today and will be available in 180 more countries
https://github.com/ggerganov/llama.cpp https://github.com/oobabooga/text-generation-webui https://github.com/mlc-ai/mlc-llm https://github.com/cocktailpeanut/dalai https://github.com/ido-pluto/catai (this is super easy to install but it doesnt provide an api or have integration with langchain)
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ChatGPT Data Breach BreakDown - Why it Should be a Concern for Everyone!
This was easy to get running: https://github.com/cocktailpeanut/dalai with alpaca 13B (on my 16GB or ram)
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A brief history of LLaMA models
I had it running before with Dalai (https://github.com/cocktailpeanut/dalai) but have since moved to using the browser based WebGPU method (https://mlc.ai/web-llm/) which uses Vicuna 7B and is quite good.
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Meet Atom the GPT Assistant, an AI-powered Smart Home Assistant. It's like Google Assistant but with endless possibility of ChatGPT, it's like Siri but with extensibility of Open Source power.
https://github.com/nsarrazin/serge let's you pick which model and runs in a container. For API https://github.com/cocktailpeanut/dalai looks super promising.
- Mercredi Tech - 2023-04-26
- [Chat Gpt] Metas LLaMA LLM ist durchgesickert – Führen Sie unzensierte KI auf Ihrem Heim-PC aus!
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Newbie , installed dalai with llama locally, trying to make sense of responses
So I am a newbie to using GPT ( I am reasonably technical and comfortable with open source, linux and coding in general). I wanted to just play around with a chatgpt-like system locally to learn more. I have a relatively beefy gaming machine so I installed dalai and llama 7B on it. Link: https://github.com/cocktailpeanut/dalai and https://medium.com/@martin-thissen/llama-alpaca-chatgpt-on-your-local-computer-tutorial-17adda704c23
- Running oobabooga with Alpaca on Apple Silicon (M1/M2)
What are some alternatives?
When comparing alpaca.cpp and dalai you can also consider the following projects:
gpt4all - gpt4all: run open-source LLMs anywhere
llama.cpp - LLM inference in C/C++
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
ggml - Tensor library for machine learning
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
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
llama - Inference code for Llama models
alpaca.cpp vs gpt4all
alpaca.cpp vs llama.cpp
alpaca.cpp vs coral-pi-rest-server
alpaca.cpp vs ggml
alpaca.cpp vs text-generation-webui
dalai vs gpt4all
alpaca.cpp vs alpaca-lora
alpaca.cpp vs koboldcpp
alpaca.cpp vs bitsandbytes
dalai vs text-generation-webui
alpaca.cpp vs GPTQ-for-LLaMa
dalai vs llama