Text / LLM AI 모델
Text / LLM groups the open large language models in the catalog: Llama, Qwen, Gemma, Mistral, DeepSeek, Phi and the fine-tunes built on them, from 1 billion parameter models that run on a laptop to frontier-size mixtures of experts. Each entry lists the parameter count, context length, licence and where to run it; the models Graydient hosts carry a Runs badge and a token for the PirateDiffusion chat bot.
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Text / LLM 가이드
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What is The Hugging Bay? A mirror index for open models, and how to verify a download with its hashes
The Hugging Bay is a Pirate Bay-styled index of open-weight models: it catalogues Hugging Face repositories, tracks which have mirrors, trending pages and download demand, publishes SHA-256 hashes per file, and runs small language models in the browser. What it is and is not, how to read its listings, how to verify a file against its hashes and ours, and where it fits next to Hugging Face, Civitai and this site.
작성자: Captain
2026-10-05
모델
How to choose an AI model in October 2026: the picks, the prices and what changed
The October 2026 answer to 'which AI model should I use': Claude Opus 5.5, GPT-6.1 Sol, Claude Sonnet 5.5, Grok 4.7, Gemini 3.8 Flash, GPT-6 Luna, MiMo-V2.6-Flash and local Gemma 4 through Ollama, with the price per million tokens for each, which job each one is for, what changed since September and the side picks for transcription, voice and pictures.
작성자: Lookout
2026-10-07
모델
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Ten ways to get a capable AI assistant for less than a ChatGPT subscription, ranked by what you actually pay: open models on your own PC with Ollama or LM Studio, the free tiers of DeepSeek, Mistral, Google AI Studio and Qwen, Hugging Face Chat, OpenRouter's free routes, a Telegram bot with open LLMs included in a flat image-and-video plan, and what each is good and bad at.
작성자: Lookout
2026-02-04
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설치 불필요 – 클라우드에서 AI 모델 실행
GPU도, 다운로드도, Python도 필요 없습니다. 이 서비스들은 같은 오픈소스 모델을 자체 서버에서 실행하므로 브라우저, Discord, Telegram에서 1분 만에 생성을 시작할 수 있습니다.
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