Top 11 large-language-model Open-Source Projects
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opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
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intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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enchanted
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
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GenRead
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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LLaMA-8bit-LoRA
Repository for Chat LLaMA - training a LoRA for the LLaMA (1 or 2) models on HuggingFace with 8-bit or 4-bit quantization. Research only.
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chat-llama-discord-bot
A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
Project mention: Show HN: Times faster LLM evaluation with Bayesian optimization | news.ycombinator.com | 2024-02-13Fair question.
Evaluate refers to the phase after training to check if the training is good.
Usually the flow goes training -> evaluation -> deployment (what you called inference). This project is aimed for evaluation. Evaluation can be slow (might even be slower than training if you're finetuning on a small domain specific subset)!
So there are [quite](https://github.com/microsoft/promptbench) [a](https://github.com/confident-ai/deepeval) [few](https://github.com/openai/evals) [frameworks](https://github.com/EleutherAI/lm-evaluation-harness) working on evaluation, however, all of them are quite slow, because LLM are slow if you don't have infinite money. [This](https://github.com/open-compass/opencompass) one tries to speed up by parallelizing on multiple computers, but none of them takes advantage of the fact that many evaluation queries might be similar and all try to evaluate on all given queries. And that's where this project might come in handy.
https://github.com/easyjailbreak/easyjailbreak?
Instructions on how to set this up here
large-language-model related posts
Index
What are some of the best open-source large-language-model projects? This list will help you:
Project | Stars | |
---|---|---|
1 | opencompass | 2,836 |
2 | intel-extension-for-transformers | 1,990 |
3 | enchanted | 1,942 |
4 | LLMUnity | 388 |
5 | GenRead | 265 |
6 | EasyJailbreak | 262 |
7 | llama2.go | 184 |
8 | LLaMA-8bit-LoRA | 146 |
9 | chat-llama-discord-bot | 115 |
10 | llm | 37 |
11 | integrate-palm-into-word | 7 |
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