This is a multi-task fine-tuned model based on DeepSeek-R1-Distill-Qwen-1.5B. It is trained on multiple datasets through the LoRA adapter and has powerful multi-task generalization and reasoning capabilities. It can handle a wide range of natural language and reasoning-based tasks.

Natural Language ProcessingPeftEnglish

Qwen-1.5B_THIP is a mathematical reasoning model fine-tuned using the GRPO method on the DeepMath-103k mathematical dataset based on DeepSeek-R1-Distill-Qwen-1.5B with the TRL framework. This model is specifically optimized for solving mathematical problems and has strong mathematical reasoning abilities.

Natural Language ProcessingTransformers

DeepSeek-R1 is an inference model trained through large-scale reinforcement learning. It performs excellently in mathematics, code, and reasoning tasks, and can demonstrate powerful reasoning abilities without supervised fine-tuning, including self-verification, reflection, and generating long thought chains, etc.

Natural Language ProcessingTransformersEnglish

This is a specialized cybersecurity version fine-tuned from the Unsloth-based DeepSeek-R1-Distill-Llama-8B model, focusing on generating and understanding network security-related content and providing support for tasks such as threat intelligence summarization and vulnerability analysis.

Natural Language ProcessingTransformersEnglish

NVIDIA DeepSeek R1 FP4 v2 is a text generation model that performs FP4 quantization based on the DeepSeek R1 model of DeepSeek AI. It adopts an optimized Transformer architecture and can be used for commercial and non-commercial purposes. This model is quantized through the TensorRT Model Optimizer, significantly reducing the disk size and GPU memory requirements compared to the FP8 version.

Natural Language ProcessingSafetensors

NVIDIA DeepSeek-R1-0528-FP4 v2 is a quantized version of the DeepSeek R1 0528 model. It adopts an optimized Transformer architecture and is an autoregressive language model. Through FP4 quantization optimization, it reduces the disk size and GPU memory requirements while maintaining high inference efficiency.

Natural Language ProcessingSafetensors

This is a model card from the 🤗 Transformers model hub. Due to the lack of specific information, a detailed model introduction cannot be provided. It is recommended to view the original model page for complete information.

Natural Language ProcessingTransformers

AceReason-Nemotron-7B is a mathematical and code reasoning model trained through reinforcement learning. It is developed based on DeepSeek-R1-Distilled-Qwen-7B and performs excellently in multiple reasoning benchmark tests.

Natural Language ProcessingTransformersMultiple Languages

This is a language model specifically optimized for the Indonesian legal field. It is fine-tuned on the Indonesian legal Q&A dataset using the GRPO method based on DeepSeek-R1-0528-Qwen3-8B, focusing on improving legal reasoning and structured thinking abilities.

Natural Language ProcessingTransformers

This model is a fine-tuned version based on DeepSeek-R1-0528-Qwen3-8B, trained using TRL and GRPO methods, focusing on improving mathematical reasoning ability.

Natural Language ProcessingTransformersMultiple Languages

The 5-bit quantized version of DeepSeek-R1-0528, suitable for the MLX framework.

Natural Language ProcessingMlx

This is the MLX format conversion version of the DeepSeek-R1-Distill-Qwen-32B model, a large language model with 32 billion parameters, specifically optimized for the MLX framework, supporting efficient text generation and dialogue tasks.

Natural Language ProcessingMlx

Fine-tuned based on the Qwen 3 model with 4B parameters to improve inference and problem-solving abilities

Natural Language ProcessingTransformersEnglish

AceReason-Nemotron-7B is a mathematical and code reasoning model trained based on reinforcement learning. It starts training from DeepSeek-R1-Distilled-Qwen-7B and performs excellently in multiple benchmark tests.

Natural Language ProcessingTransformers

This is a large language model based on the DeepSeek-R1-Distill-Qwen-7B model, fine-tuned using the open-r1/OpenR1-Math-220k mathematical dataset. This model is specifically optimized for mathematical reasoning and problem-solving abilities and is trained using the TRL framework.

Natural Language ProcessingTransformers

A 6-bit quantized version converted from the DeepSeek-R1-0528-Qwen3-8B model, suitable for text generation tasks in the MLX framework.

Natural Language ProcessingMlx

DeepSeek-R1-0528 is an upgraded large language model launched by DeepSeek. It has significant improvements in reasoning ability and reducing hallucination rate, and its overall performance is close to that of leading models.

Natural Language ProcessingTransformers

This is a fine-tuned version based on the Qwen-14B model, trained using the GRPO method, suitable for text generation tasks.

Natural Language ProcessingTransformers

DeepSeek-R1-Distill-Qwen-14B is an optimized large language model with a parameter scale of 14B, released by DeepSeek AI. It is distilled from the Qwen architecture and offers multiple GGUF quantization versions to improve performance.

Natural Language ProcessingGguf

NVIDIA DeepSeek-R1-0528-FP4 is a quantized version of the DeepSeek R1 0528 model. It uses an optimized Transformer architecture, with weights and activation values quantized to the FP4 data type, significantly reducing disk size and GPU memory requirements. It supports the TensorRT-LLM inference engine for efficient inference.

Natural Language ProcessingSafetensors