This is a quantized version of the Alibaba Tongyi Deep Research 30B-A3B model. It uses MXFP4_MOE quantization technology and additionally adds imatrix quantization, aiming to optimize model performance and resource utilization efficiency, and is suitable for text generation tasks.

Natural Language ProcessingGguf

This is a quantized version of the DeepSeek-V3.1 model, which uses the imatrix technology of llama.cpp for quantization processing. The aim is to improve the operating efficiency and performance of the model on different hardware. This version offers multiple quantization levels, ranging from high-quality Q8_0 to extremely low-quality IQ1_M, to meet the requirements of different hardware configurations and performance needs.

Natural Language ProcessingGguf

This is a quantized version of the deepcogito's cogito-v2-preview-llama-70B model, using the imatrix quantization technology of Llama.cpp. It significantly reduces the model storage and computational resource requirements while maintaining good performance, and is suitable for environments with limited resources.

Natural Language ProcessingGguf

Mi:dm 2.0 is an 'AI centered around South Korea' model developed using KT's proprietary technology, which deeply internalizes the unique values, cognitive frameworks, and common-sense reasoning of South Korean society.

Natural Language ProcessingTransformersMultiple Languages

Mi:dm 2.0 is an AI model centered around South Korea, developed by KT using its proprietary technology. This model has deeply internalized the unique values, cognitive frameworks, and common-sense reasoning of South Korean society. It can not only process and generate Korean content but also reflect a profound understanding of South Korean social and cultural norms and values.

Natural Language ProcessingTransformersMultiple Languages

VoxPolska Auralis is an advanced Polish text-to-speech (TTS) model that uses cutting-edge deep learning technology to accurately capture the nuances and intonations of the Polish language, converting written text into natural, fluent, and expressive speech.

Audio ProcessingTransformersOther

DeepSeek-R1-0528-AWQ is the AWQ quantized version of DeepSeek R1 0528. Through quantization technology, the model's operating efficiency is improved, code issues are fixed, and more stable services are provided.

Natural Language ProcessingTransformersMultiple Languages

DeepSeek-R1T-Chimera is a text generation model developed based on tngtech's technology, focusing on efficient natural language processing tasks.

Natural Language ProcessingGguf

DeepHermes-ToolCalling-Specialist-Atropos is a text generation model focused on tool calling, designed to achieve efficient task execution through natural language processing technology.

Natural Language ProcessingGguf

This is a quantized version of DeepSeek AI's DeepSeek V3-0324 model. It uses an optimized Transformer architecture and significantly reduces the model size and GPU memory requirements through FP4 quantization technology. It is suitable for various AI application scenarios such as AI agent systems and chatbots.

Natural Language ProcessingSafetensors

DeepSeek-R1 is an efficient large language model that employs Unsloth Dynamic v2.0 quantization technology to achieve outstanding accuracy.

Natural Language ProcessingGgufEnglish

A code-reasoning large language model fine-tuned based on DeepSeek-R1-Distilled-Qwen-1.5B, utilizing distributed reinforcement learning technology to extend long-context processing capabilities

Natural Language ProcessingGgufEnglish

A code reasoning large model fine-tuned based on DeepSeek-R1-Distilled-Qwen-1.5B, utilizing distributed reinforcement learning technology to enhance long-context processing capabilities

Natural Language ProcessingTransformersEnglish

Gemma 3 4B IT GGUF is a lightweight open - source language model launched by Google DeepMind. It is built based on the same research and technology as the Gemini model. This model has a large context window of 128K, supports more than 140 languages, and uses the GGUF format for easy deployment and operation on various devices.

Natural Language ProcessingGgufEnglish

The NVIDIA DeepSeek R1 FP4 model is a quantized version of DeepSeek AI's DeepSeek R1 model, which is an autoregressive language model using an optimized Transformer architecture. This model reduces the parameter bit - width from 8 bits to 4 bits through FP4 quantization technology, reducing the disk size and GPU memory requirements by approximately 1.6 times while maintaining high - precision performance.

Natural Language ProcessingSafetensors

This is an experimentally constructed large language model that combines Dolphin3.0-R1-Mistral-24B with Brainstorm 40x technology, with 45B parameters, and has powerful deep reasoning and thinking abilities. The model supports a 32k context length, uses the CHATML template format, and is specially optimized for detailed output during the reasoning process.

Natural Language ProcessingGgufEnglish

This is the INT4 quantized version of DeepSeek-R1-Distill-Qwen-1.5B. Through weight quantization technology, the model size is reduced by approximately 75%, while maintaining performance close to that of the original model. It can achieve up to 1.5 times acceleration in inference speed.

Natural Language ProcessingTransformers

This is the INT4 quantized version of DeepSeek-R1-Distill-Llama-70B. Through weight quantization technology, the model size is reduced by approximately 75%, while significantly improving inference performance and supporting efficient deployment and inference acceleration.

Natural Language ProcessingTransformers

This is a financial domain language model fine-tuned based on the DeepSeek-R1-Distill-Llama-8B model, optimized using LoRA technology, suitable for financial Q&A and instruction tasks.

Natural Language ProcessingTransformersEnglish

DeepSeek-R1-Distill-Llama-70B is a 70B parameter large language model developed by the DeepSeek team based on the Llama architecture. It is optimized through distillation technology and supports efficient inference and fine-tuning.

Natural Language ProcessingGgufEnglish