LFM3 1.7B

LFM2.5 24B A2B

Liquid AI's text-only mixture-of-experts model for reasoning and tool-using agents, with 24B total and 2.45B active parameters. It always thinks before answering and supports structured output. Pair it with retrieval for knowledge-heavy tasks. Open weights use the LFM Open License v1.0, with a $10M annual-revenue commercial threshold; hosted API use is subject to separate service terms that permit retention and use of prompts and responses for model training.

LFM2.5 2.6B

Liquid AI's compact 2.6B reasoning model for agent workflows, data extraction, RAG, and long-context processing. It supports tool calling and structured output, but Liquid advises against using it for agentic coding. Warning: prompts and responses may be logged and used for model training or service improvement; do not send sensitive data.

Ling 3.0 Tiny

Ling 3.0 Tiny is a compact 7.9B-parameter Mixture-of-Experts model with 1.3B parameters active per token. It is designed for responsive agents, reliable instruction following, natural multi-turn conversations, long-context work, and function calling at low inference cost.

Ling 3.0 Tiny Thinking

Ling 3.0 Tiny Thinking enables visible reasoning on inclusionAI's compact 7.9B-parameter Mixture-of-Experts model for harder agent tasks, coding, planning, function calling, and long-context workflows.

DeepSeek V4 Pro Qwen3.5 9B Uncensored Heretic

xtools-at's uncensored Heretic version of Jackrong's DeepSeek V4 Pro Qwen3.5 9B, a Qwen3.5 9B model distilled from DeepSeek V4 Pro on about 250,000 math and STEM samples. It answers directly without a thinking phase. It accepts and returns text, with a 32,768-token context window shared by input and output and up to 8,192 output tokens.

Artemis 31B v1.2

TheDrummer's Gemma 4 31B finetune for creative writing, character roleplay, and conversation. It accepts and returns text, with a 65,536-token context window shared by input and output and up to 8,192 output tokens.