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RubyLLM: A delightful Ruby way to work with AI

Gemma3 – The current strongest model that fits on a single GPU

Sidekick: Local-first native macOS LLM app

A Practical Guide to Running Local LLMs

The Einstein AI Model

People are just as bad as my LLMs

Asking LLMs to create my game Shepard's Dog

Meta must defend claim it stripped copyright info from Llama's training fodder

I've been using Claude Code for a couple of days

Llama 3.3 keeping you all safe from sun theft. Thank the Lord.

qwq and gemma-3 added to long context benchmark

I deleted all my previous models after using (Reka flash 3 , 21B model) this one deserve more attention, tested it in coding and its so good

First attempt at AI agent. Where do I start

HowTo: Decentralized LLM on Akash, IPFS & Pocket Network, could this run LLaMA?

KoboldCPP 1.86 just dropped with support of Gemma-3

Qwen

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QwQ-32B

Task: text-generation

DeepSeek

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DeepSeek-R1

Task: text-generation

Google

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gemma-3-1b-it

Task: text-generation

Perplexity

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r1-1776

Task: text-generation

Open R1

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OlympicCoder-7B

Task: text-generation

Open R1

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OlympicCoder-32B

Task: text-generation

Google

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gemma-3-1b-pt

Task: text-generation

Qwen

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QwQ-32B-GGUF

Task: text-generation

Ai2

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OLMo-2-0325-32B-Instruct

Task: text-generation

run-llama

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llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.

langchain-ai

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langchain

🦜🔗 Build context-aware reasoning applications

BlinkDL

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RWKV-LM

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.