
LLM Explorer
Find your best LLM for a local inference
LLM Explorer launched on August 1, 2023 with 152 votes, #315 of 4,347 launches that month and more than 90% of that year's launches.
In plain words
LLM Explorer helps users find and evaluate large language models suitable for local inference. Designed for ML researchers, developers, and AI enthusiasts, it enables discovery of recent NLP models and integration into projects. The tool serves those seeking to stay current with AI advancements and make informed decisions about which language models to deploy locally.
written from the facts on this page · September 2026
From the sources
The LLM Explorer: Navigate the World of Large Language Models. Perfect for ML researchers, developers, and AI enthusiasts. Discover the latest in NLP, integrate it into your projects, and stay at the forefront of AI advancements.
Does a similar job
all alternatives →
Find the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)2023 · github.com · ▲45G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…

Find the Best LLM for Your Needs2024 · github.com · ▲33Find the Best LLM for Your Needs through E2E Testing - Yuyz0112/relia
Improve Text-to-SQL Accuracy with LLM2023 · github.com · ▲17A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL - eosphoros-ai/DB-GPT-Hub
LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG2024 · github.com · ▲51Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…
Questions this answers
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, August 2023
the whole month →
Resend▲1,325An entire collection of pre-built components with a much faster development experience.
Dev tools · 2023 · resend.com



Lottielab▲869Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com

Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com