chat

Qwen3.8-Flash-Next-GGUF

Run Unsloth’s GGUF quantizations of Qwen 3.8 Flash Next for long-context chat and reasoning. Includes optional thinking mode plus sampling and stop controls.

Chatconversational text-generation-inference

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Qwen3.8-27B-Obliterated

Qwen

Refusal-reduced variant of Qwen 3.8 27B for long-context chat and coding. It can emit or hide thinking traces and supports tight decoding controls.

Chatconversational text-generation-inference

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Qwen3.8-27B

Qwen

Qwen3.8-27B is a 27B-parameter chat model from Qwen with optional thinking traces and 262k native context for long-form coding, analysis, and agent workflows.

Chatconversational text-generation-inference

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Qwen3.8-27B-Uncensored

Qwen

Chat model based on Qwen 3.8 27B with refusal behavior reduced through direction removal. Its 262k context fits long documents, code, and chats.

Chatconversational text-generation-inference

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Qwen3.6-27B

Qwen

Qwen3.6-27B is a 27B dense vision-language model from Qwen for agentic coding and reasoning. It supports 262K-token context and optional thinking traces in outputs.

Chatconversational text-generation-inference

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Qwen3.5-4B-heretic

Qwen

Decensored Qwen3.5-4B checkpoint for long-context chat, coding, and analysis. Supports optional thinking traces and sampling controls for output style.

Chatconversational text-generation-inference

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Qwen3.5-9B-heretic

Qwen

A large language model optimized for chat interactions and logical reasoning tasks. Designed for developers and researchers.

Chatconversational text-generation-inference

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Qwen3.5-4B

Qwen

A compact yet capable LLM optimized for chat interactions and logical reasoning tasks. Designed for efficient deployment and accurate responses.

Chatconversational text-generation-inference

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Qwen3.5-9B

Qwen

A dense 9-billion parameter language model optimized for chat and reasoning tasks. Designed for efficient deployment and high-quality responses.

Chatconversational text-generation-inference

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Qwen3.5-27B-heretic

Qwen

A large language model optimized for chat interactions and reasoning tasks, designed for advanced users seeking powerful natural language processing capabilities.

Chatconversational text-generation-inference

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Qwen3.5-27B

Qwen

Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

Chatconversational text-generation-inference

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GLM-4.7-Flash

zai-org

A chat-based language model optimized for conversational AI tasks with support for custom prompts and session management.

Chatconversational text-generation-inference

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rag-chat-github

wiro

Instantly retrieve and analyze content from any GitHub repository. Select your LLM model, extract relevant information from codebases or documentation, and generate context-aware responses with ease!

Chatconversational text-generation-inference

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rag-chat-youtube

wiro

Extract insights directly from YouTube videos by simply providing a URL. Choose your LLM model, access video transcripts or summaries, and create contextually rich conversations effortlessly!

Chatconversational text-generation-inference

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rag-chat-website

wiro

Instantly retrieve and analyze content from any website URL. Select your LLM model, fetch key information from the page, and generate context-aware responses with ease!

Chatconversational text-generation-inference

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rag-chat

wiro

Wiro LLM Conversational RAG Tool – A unified interface for seamless RAG-based conversations. Select your preferred LLM model, retrieve relevant data from external sources, and generate context-aware responses effortlessly!

Chatconversational text-generation-inference

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