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 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

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

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

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

An MLX format model converted from DeepSeek-Prover-V2-7B, suitable for text generation tasks

Natural Language ProcessingMlx

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

Natural Language ProcessingTransformersMultiple Languages

The GPTQ quantized version of the DeepSeek-R1-0528 model, using a quantization scheme of Int4 + selective Int8, which reduces the file size while ensuring the generation quality.

Natural Language ProcessingTransformers

DeepSeek-R1-Llama-8B-F32-GGUF is the quantized version of DeepSeek-R1-Distill-Llama-8B, trained directly with reinforcement learning, featuring capabilities such as self-verification, reflection, and generating extended chain-of-thought reasoning.

Natural Language ProcessingTransformersEnglish

The 4-bit AWQ quantized version of the DeepSeek-R1-0528 671B model, suitable for use on high-end GPU nodes

Natural Language ProcessingTransformers

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-R1-0528 model after quantization processing significantly reduces the requirements for GPU memory and disk space by quantizing the weights to the INT4 data type.

Natural Language ProcessingSafetensors

The AWQ quantized version of DeepSeek-R1-0528-Qwen3-8B, suitable for efficient inference in specific scenarios.

Natural Language ProcessingTransformers

A language model trained on Turkish text based on the DeepSeek architecture, incorporating Multi-Head Latent Attention (MLA) and Mixture of Experts (MoE) technologies.

Natural Language ProcessingTransformersOther