llm
llm-replicate
| llm | llm-replicate | |
|---|---|---|
| 23 | 1 | |
| 2,991 | 53 | |
| - | - | |
| 9.4 | 6.1 | |
| 3 days ago | 22 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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 -
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
llm-replicate
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Accessing Llama 2 from the command-line with the LLM-replicate plugin
More about my LLM tool (and Python library) here: https://llm.datasette.io/
Here's the full implementation of that llm-replicate plugin: https://github.com/simonw/llm-replicate/blob/0.2/llm_replica...
If you want to write a plugin for some other LLM I have a detailed tutorial here: https://llm.datasette.io/en/stable/plugins/tutorial-model-pl... - plus a bunch of examples linked from here: https://github.com/simonw/llm-plugins
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
llm-gpt4all - Plugin for LLM adding support for the GPT4All collection of models
langroid - Harness LLMs with Multi-Agent Programming
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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
llm-mpt30b - LLM plugin adding support for the MPT-30B language model
jehuty - Fluent API to interact with chat based GPT model
guidance - A guidance language for controlling large language models.
aipl - Array-Inspired Pipeline Language
gpt4all - gpt4all: run open-source LLMs anywhere