gpt4all.cpp
Locally run an Assistant-Tuned Chat-Style LLM (by zanussbaum)
alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM (by antimatter15)
| gpt4all.cpp | alpaca.cpp | |
|---|---|---|
| 2 | 94 | |
| 510 | 9,878 | |
| - | - | |
| 6.5 | 9.4 | |
| about 1 year ago | about 1 year ago | |
| C | C | |
| MIT License | 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.
gpt4all.cpp
Posts with mentions or reviews of gpt4all.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-04.
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 -
Is there potential to short NVDA?
You can just download the language model, dude!!! Everyone doesn’t need to make their own and the open source models literally get better every day.
- [Oobabooga] Alpaca.cpp est extrêmement simple à travailler.
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Hollywood’s Screenwriters Are Right to Fear AI
Alpaca
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Square Enix’s AI Tech Demo Is a Staggering Failure
Square could have also trained a more specific data source for their NLP, very similar to Alpaca. Alpaca was trained from interactions from a larger dataset. So while it isn't as smart, it's still able to understand instructions and act upon them.
- [Singularity] Ich bin Alpaka 13B - Frag mich alles
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Alpaca Vs. Final Jeopardy
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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What educational materials do you think would be most useful during/after collapse?
Doesn't run offline. If you're running something without a beefy-ish GPU, there's https://github.com/antimatter15/alpaca.cpp .
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ChatGPT Reignited My Passion For Coding
Ye, atm. toying with alpaca 7B/13B in a local install.
What are some alternatives?
When comparing gpt4all.cpp and alpaca.cpp you can also consider the following projects:
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
cformers - SoTA Transformers with C-backend for fast inference on your CPU.
llama.cpp - LLM inference in C/C++
rwkv.cpp - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
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
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.
gpt4all.cpp vs text-generation-webui
alpaca.cpp vs gpt4all
gpt4all.cpp vs cformers
alpaca.cpp vs llama.cpp
gpt4all.cpp vs rwkv.cpp
alpaca.cpp vs coral-pi-rest-server
gpt4all.cpp vs llama.cpp
alpaca.cpp vs ggml
alpaca.cpp vs text-generation-webui
alpaca.cpp vs alpaca-lora
alpaca.cpp vs koboldcpp
alpaca.cpp vs bitsandbytes