open-llms
llama.cpp
| open-llms | llama.cpp | |
|---|---|---|
| 22 | 773 | |
| 10,168 | 56,891 | |
| - | - | |
| 7.7 | 10.0 | |
| about 1 month ago | 5 days ago | |
| C++ | ||
| Apache License 2.0 | MIT License |
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.
open-llms
-
7 SAAS ideas 💡 you can steal
Everyone knows about ChatGPT by now, but did you know there are other models like "Mistral" or "Falcon" - you can view a full list of open-source models here or on huggingface.
- eugeneyan/open-llms
-
GPT-4 API general availability
This is the most well-maintained list of commercially usable open LLMs: https://github.com/eugeneyan/open-llms
MPT, OpenLLaMA, and Falcon are probably the most generally useful.
For code, Replit Code (specifically replit-code-instruct-glaive) and StarCoder (WizardCoder-15B) are the current top open models and both can be used commercially.
-
Local LLMs: After Novelty Wanes
There's also MPT, which has a 7B, and Falcon, with a 7B and 40B although they have not had the inference tuning in community projects that the llamas have had. This is a good repo for reviewing what's available atm: https://github.com/eugeneyan/open-llms
- How to keep track of all the LLMs out there?
-
How do I learn AI/Machine Learning?
If I was going to do the same I would at least build off of something, check out https://github.com/eugeneyan/open-llms, you should at least have a decent understanding of artificial neural networks (ANNs) and this link is pretty good on the basic concepts you need inc classification and learning types, good luck friend.
- LLM and privacy
- Local LLM to learn, explore and use for commercial purpose
-
Best instruct model recommendations to use with T4?
This list might help: https://github.com/eugeneyan/open-llms
- [D] What is the best open source LLM so far?
llama.cpp
-
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
-
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
-
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
-
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
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
SillyTavern - LLM Frontend for Power Users.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
SillyTavern-Extras - Extensions API for SillyTavern.
gpt4all - gpt4all: run open-source LLMs anywhere
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llm-jeopardy - Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
azure-search-openai-demo - A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
ggml - Tensor library for machine learning
panml - PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM