open-llms
lmql
| open-llms | lmql | |
|---|---|---|
| 22 | 30 | |
| 10,168 | 3,320 | |
| - | 2.9% | |
| 7.7 | 9.5 | |
| about 1 month ago | about 1 month ago | |
| Python | ||
| Apache License 2.0 | 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.
open-llms
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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
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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.
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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?
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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
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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?
lmql
- Show HN: Fructose, LLM calls as strongly typed functions
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Prompting LLMs to constrain output
have been experimenting with guidance and lmql. a bit too early to give any well formed opinions but really do like the idea of constraining llm output.
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[D] Prompt Engineering Seems Like Guesswork - How To Evaluate LLM Application Properly?
the only time i've ever felt like it was anything other than guesswork was using LMQL . not coincidentally, LMQL works with LLMs as autocomplete engines rather than q&a ones.
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Guidance for selecting a function-calling library?
lqml
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Show HN: Magentic – Use LLMs as simple Python functions
This is also similar in spirit to LMQL
https://github.com/eth-sri/lmql
- Show HN: LLMs can generate valid JSON 100% of the time
- LangChain Agent Simulation – Multi-Player Dungeons and Dragons
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The Problem with LangChain
LLM calls are just function calls, so most functional composition is already afforded by any general-purpose language out there. If you need fancy stuff, use something like Python‘s functools.
Working on https://github.com/eth-sri/lmql (shameless plug, sorry), we have always found that compositional abstractions on top of LMQL are mostly there already, once you internalize prompts being functions.
- Is there a UI that can limit LLM tokens to a preset list?
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Local LLMs: After Novelty Wanes
LMQL is another.
What are some alternatives?
SillyTavern - LLM Frontend for Power Users.
guidance - A guidance language for controlling large language models.
SillyTavern-Extras - Extensions API for SillyTavern.
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
llm-jeopardy - Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
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.
guardrails - Adding guardrails to large language models.
panml - PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.