Qwen3-4B-Hivemind-Instruct-NEO-MAX-Imatrix-GGUF is a large language model with 4B parameters for instruction fine-tuning based on the Qwen3 architecture. It uses NEO Imatrix and MAX quantization technologies and has the ability to process an ultra-long context of 256k. This model performs excellently in multiple benchmark tests and is a powerful general-purpose model.

Natural Language ProcessingGgufEnglish

A large language model with 12B parameters fine-tuned based on Qwen 3, capable of handling 256k ultra-long contexts. It is specifically optimized for long text generation tasks. This model combines the foundation of the VLTO 8B model, Brainstorm 20x tuning, and NEO Imatrix dataset quantization technology, enabling it to generate high-quality long text content.

Natural Language ProcessingGgufMultiple Languages

This is a large language model in MLX format converted from the Qwen3-Next-80B model, with the ability to handle ultra-long contexts of 1 million tokens. The model uses a unique qx65 quantization formula, focusing on emotional resonance rather than simple technical optimization. It can perceive the emotions behind questions and generate more humanized responses.

Natural Language ProcessingMlx

Hunyuan is a series of efficient large language models open-sourced by Tencent, designed for multi-purpose deployment in various computing environments. From edge devices to high-concurrency production systems, these models can achieve optimal performance with advanced quantization support and ultra-long context capabilities.

Natural Language ProcessingTransformers

Kanana 1.5 is a bilingual large language model developed by Kakao, with significant improvements in programming, mathematics, and function calling capabilities. It supports a 32K token context length and can process ultra-long texts up to 128K tokens using YaRN extension technology.

Natural Language ProcessingTransformersMultiple Languages

Kevin 32B is a large language model developed by Cognition AI, supporting an ultra-long context (40960 tokens) and focusing on CUDA kernel generation and reinforcement learning tasks.

Natural Language ProcessingGguf

A horror-themed text generation model optimized based on Qwen3-32B, enhanced with Imatrix quantization technology for improved reasoning, supporting 128k ultra-long context

Natural Language ProcessingGguf

Qwen3-1.7B is a 1.7B-parameter large language model developed by Qwen, supporting 32k tokens of ultra-long context, excelling in creative writing, role-playing, and multi-turn dialogues.

Natural Language ProcessingGguf

An 8B-parameter large language model developed by the Qwen team, supporting ultra-long context and multilingual processing

Natural Language ProcessingGguf

The latest generation large language model in the Qwen series, offering a 14.8 billion parameter pre-trained base model with support for 32k ultra-long context understanding

Natural Language ProcessingTransformers

A large language model based on the Llama-3.1 architecture, optimized by merging multiple high-quality 8B models, supporting ultra-long context processing

Natural Language ProcessingTransformers

The NeuralLake iSA-03 Mini 3B is an advanced AI model developed by NeuralLake Technology, combining the direct response capabilities of traditional large language models with automated multi-step reasoning, supporting ultra-long context processing of 256K tokens.

Natural Language ProcessingTransformers

Gemma 3 is a lightweight open-source multimodal model from Google, supporting text and image input with text output, featuring a 128K ultra-long context window and support for 140+ languages.

MultimodalGguf

Nemotron-UltraLong-8B is a language model specifically designed for processing ultra-long text sequences, supporting a context window of up to 4 million tokens while maintaining outstanding performance on standard benchmarks.

Natural Language ProcessingTransformersEnglish

Nemotron-UltraLong-8B series ultra-long context language model supporting 2 million token context window, optimized based on Llama-3.1 architecture

Natural Language ProcessingTransformersEnglish

The Nemotron-UltraLong-8B series is specifically designed for processing ultra-long text sequences, supporting a context window of up to 2 million tokens while maintaining exceptional performance.

Natural Language ProcessingTransformersEnglish

The Nemotron-UltraLong-8B series is a language model specifically designed for processing ultra-long text sequences, supporting a context window of up to 4 million tokens while maintaining exceptional performance.

Natural Language ProcessingTransformersEnglish

GigaChat-20B-A3B-instruct bf16 is a large language model in the Russian GigaChat series. It is built on the Mixture of Experts architecture and supports ultra-long context processing capabilities of up to 131,000 tokens. It is specifically optimized for Russian and English.

Natural Language ProcessingTransformersMultiple Languages

This is a GGUF quantized version based on the Meta Llama-3-70B-Instruct model, developed by GradientAI, supporting an ultra-long context length of 1048k. The model has been optimized through instruction fine-tuning and is suitable for various natural language processing tasks. It also offers multiple quantization levels to meet different hardware requirements.

Natural Language ProcessingGgufEnglish

A large language model based on the Mistral Nemo architecture, focusing on creative writing and role-playing, with an ultra-long context processing capability of 128k+.

Natural Language ProcessingGgufEnglish