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 an enhanced multimodal vision-language model based on the Qwen3-VL-8B-Thinking model. It is extended to 12B parameters through Brainstorm 20x technology and uses NEO Imatrix-enhanced GGUF quantization. The model has powerful image understanding, text generation, and multimodal reasoning capabilities, with significant improvements in visual perception, text quality, and creative scenarios.

MultimodalGgufMultiple Languages

A large language model optimized based on OpenAI's gpt-oss-120b model. It uses the NEO dataset to improve performance, supports multi-scenario applications, and can run on CPU, GPU, or in partial offloading mode. It has a 128k context length and a mixture of experts architecture with up to 128 experts.

Natural Language ProcessingGgufMultiple Languages

This is a static quantized version of the chandar-lab/NeoBERT model, aiming to reduce model storage space and computational resource requirements.

Natural Language ProcessingTransformersEnglish

An inference model based on Mistral, optimizing inference and output generation capabilities through NEO Imatrix quantization and MAX output tensors

Natural Language ProcessingGgufMultiple Languages

A Latin language model fine-tuned based on LLaMA-3.2-3B, optimized for generating and understanding Latin texts from ancient to modern Neo-Latin across various historical periods.

Natural Language ProcessingTransformersMultiple Languages

GGUF quantized version based on Qwen3-30B-A3B Mixture of Experts model, extended to 128k context, optimized with NEO Imatrix quantization technology, supporting multilingual and multitask processing.

Natural Language ProcessingGgufMultiple Languages

This is the NEO Imatrix quantized version of the Qwen3-32B model, using BF16 format to maximize output tensors for improved inference/generation capabilities, supporting a 128k context length.

Natural Language ProcessingGguf

A NEO Imatrix quantized version based on the Qwen3-8B model, supporting 32K long context and enhanced reasoning ability

Natural Language ProcessingGguf

This is a NEO Imatrix quantized version based on the Qwen3-4B model, using BF16 format MAX output tensors to enhance reasoning and output generation capabilities, supporting 32k context length.

Natural Language ProcessingGguf

A horror-themed specialized large language model enhanced with Neo Horror Imatrix technology and ultimate quantization solutions, based on Google's Gemma-3-4b-it model

Natural Language ProcessingGguf

Gemma 3 27B Instruct is a large language model developed by Google, fine-tuned on the neo4j/text2cypher-2025v1 dataset, specializing in converting natural language to Cypher query language.

Natural Language ProcessingSafetensorsEnglish

Gemma 3.4B IT is a large language model based on text-to-text generation, specifically designed for converting natural language into Cypher query language.

Natural Language ProcessingSafetensors

Based on the Google Gemma-3 model, fine-tuned through 9 Neo and horror Imatrix methods, focusing on the generation of horror and fictional content

Natural Language ProcessingGgufEnglish

A model based on the transformers library, possibly optimized with unsloth and trl, suitable for supervised fine-tuning (SFT) tasks

Natural Language ProcessingTransformers

A deep learning-based investment prediction system utilizing Transformer architecture, integrating DeepSeep-V3 and LLama3 design structures for stock price trend forecasting and technical analysis.

A 24B parameter instruction-tuned model by Mistralai, supporting 128k context length and multilingual processing, enhanced with Neo Imatrix technology and MAX quantization scheme

Natural Language ProcessingGgufMultiple Languages

A 3B-parameter reasoning-enhanced model based on Llama 3.2 architecture, utilizing Neo Imatrix technology and ultra-quantization solutions, supporting 128k long-context processing with exceptional instruction-following and output generation capabilities.

Natural Language ProcessingGgufOther

A horror-style instruction-tuned version based on Google's Gemma-3 model, featuring Neo Imatrix technology and extreme quantization, supporting 128k context length

Natural Language ProcessingGguf