llm-search
alpaca_eval
| llm-search | alpaca_eval | |
|---|---|---|
| 2 | 4 | |
| 396 | 1,175 | |
| - | 13.1% | |
| 8.5 | 9.6 | |
| 12 days ago | 1 day ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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.
llm-search
- Querying local documents, powered by LLM
-
I can't find a code example of using a prompt in langchain with a GGML quantized llama-based model!
Here is an example how to create a custom class for langchain - https://github.com/snexus/llm-search/blob/main/src/llmsearch/models/llama.py It is calling llama-cpp-python behind the scenes
alpaca_eval
-
UltraLM-13B reaches top of AlpacaEval leaderboard
Alpaca Eval is open source and was developed by the same team who trained the alpaca model afaik. It is not like what you said in the other comment
-
[P] AlpacaEval : An Automatic Evaluator for Instruction-following Language Models
I have been going deep in this space for my can-ai-code project and was looking at the config that WizardLM was run with: https://github.com/tatsu-lab/alpaca_eval/blob/main/src/alpaca_eval/models_configs/wizardlm-13b/configs.yaml
an automatic evaluator that is easy to use, fast, cheap and validated against 20K human annotations. It actually has a higher agreement with majority vote of humans than a single human annotator! Of course, our method still has limitations which we discuss here!
What are some alternatives?
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Local-LLM-Comparison-Colab-UI - Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
ReAct - [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
EasyEdit - An Easy-to-use Knowledge Editing Framework for LLMs.
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
alpaca_farm - A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
anything-llm - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
medmcqa - A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.