A quantized version of the DeepSeek R1 0528 model from DeepSeek AI, an autoregressive language model based on an optimized Transformer architecture, which can be used for commercial and non-commercial purposes.

Natural Language ProcessingSafetensors

DeepSeek-R1-0528 is a minor version upgrade model of the DeepSeek R1 series. It significantly improves the inference depth and ability through increased computing resources and algorithm optimization, and performs excellently in multiple benchmark tests such as mathematics and programming.

Natural Language ProcessingTransformers

AWQ-quantized version of DeepSeek R1 0528, supports full-context-length operation on 8x80GB GPUs using vLLM.

Natural Language ProcessingTransformersMultiple Languages

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-R1-0528 is a minor version upgrade of the DeepSeek R1 model. It significantly improves the reasoning ability through increased computing resources and algorithm optimization, and performs excellently in multiple benchmark evaluations such as mathematics, programming, and general logic.

Natural Language ProcessingTransformers

The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528. In the latest update, DeepSeek R1 significantly enhanced its deep reasoning and inference capabilities by increasing computational resource investment and introducing algorithmic optimization mechanisms during the post-training phase.

Natural Language ProcessingTransformers

DeepSeek - R1T - Chimera is a high-quality large language model. Through the advanced quantization scheme provided by ik_llama.cpp, it significantly reduces memory usage while maintaining performance.

Natural Language ProcessingGgufOther

Hexagon Purple V2 is a three-tier standard merged model based on Smartracks, incorporating capabilities from Deepseek Distill R1, Nemotron, and Tulu, with performance optimized through multi-model merging.

Natural Language ProcessingTransformers

Tiny-R1-32B-Preview is an inference model based on Deepseek-R1-Distill-Qwen-32B, focusing on mathematics, coding, and scientific fields, with performance close to the full version of the R1 model.

Natural Language ProcessingTransformers

DeepSeek-R1-Distill-Llama-3B is a version obtained by distilling DeepSeek-R1 using the R1-Distill-SFT dataset based on the Llama-3.2-3B model, with text generation capabilities.

Natural Language ProcessingTransformersEnglish

FP4 quantized version of DeepSeek R1 model, using optimized Transformer architecture for efficient text generation

Natural Language ProcessingSafetensors

This is the Japanese version of the DeepSeek R1 model, specifically fine-tuned for Japanese reasoning tasks and capable of reliably and accurately responding to prompts in Japanese.

Natural Language ProcessingTransformersJapanese

The AWQ quantized version of DeepSeek R1, quantized by Eric Hartford and v2ray, which fixes the overflow issue when using float16.

Natural Language ProcessingTransformersMultiple Languages

AWQ quantized version of DeepSeek R1 model, optimized for float16 overflow issues and supports efficient inference deployment

Natural Language ProcessingTransformersMultiple Languages