llama-lab | llm | |
---|---|---|
2 | 25 | |
1,328 | 3,047 | |
4.7% | - | |
5.6 | 9.4 | |
6 months ago | 7 days ago | |
Python | Python | |
- | 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.
llama-lab
llm
- FLaNK AI-April 22, 2024
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Show HN: I made a tool to clean and convert any webpage to Markdown
That's a great use case, you might be able to do this if you've got a copy and paste on the command line with
https://github.com/simonw/llm
In between. An alias like pdfwtf translating to "paste | llm command | copy"
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Command R+: A Scalable LLM Built for Business
I added support for this model to my LLM CLI tool via a new plugin: https://github.com/simonw/llm-command-r
So now you can do this:
pipx install llm
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The Next Generation of Claude (Claude 3)
If you're willing to use the CLI, Simon Willison's llm library[0] should do the trick.
[0] https://github.com/simonw/llm
- Show HN: I made an app to use local AI as daily driver
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Localllm lets you develop gen AI apps on local CPUs
I'm not thrilled about https://github.com/GoogleCloudPlatform/localllm/blob/main/ll... calling their Python package "llm" and installing "llm" as a CLI command, when my similar https://llm.datasette.io/ project has that namespace reserved on PyPI already: https://pypi.org/project/llm/
- FLaNK 15 Jan 2024
- Show HN: Simple Script for Enhanced LLM Interaction in Vim
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Bash One-Liners for LLMs
I've been gleefully exploring the intersection of LLMs and CLI utilities for a few months now - they are such a great fit for each other! The unix philosophy of piping things together is a perfect fit for how LLMs work.
I've mostly been exploring this with my https://llm.datasette.io/ CLI tool, but I have a few other one-off tools as well: https://github.com/simonw/blip-caption and https://github.com/simonw/ospeak
I'm puzzled that more people aren't loudly exploring this space (LLM+CLI) - it's really fun.
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Semantic Kernel
Seems nice if you're using c# or java. It also supports python, but for that Simon's llm library is nice because he designed it as both a library and a command line tool: https://github.com/simonw/llm
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
langroid - Harness LLMs with Multi-Agent Programming
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
multi-gpt - A Clojure interface into the GPT API with advanced tools like conversational memory, task management, and more
jehuty - Fluent API to interact with chat based GPT model
llm-replicate - LLM plugin for models hosted on Replicate
aipl - Array-Inspired Pipeline Language
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
ad-llama - Structured inference with Llama 2 in your browser
onprem - A tool for running on-premises large language models with non-public data
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
buildabot - A production-grade framework for building AI agents.