DeepSeek-R1-Distill-Llama-70B

DeepSeek-R1-Distill-Llama-70B is a large language model optimized using reinforcement learning, focusing on reasoning and conversational capabilities.

CommonProductProgrammingLarge Language ModelReinforcement Learning

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DeepSeek-R1-Distill-Llama-70B is a large language model developed by the DeepSeek team, based on the Llama-70B architecture and optimized through reinforcement learning. It excels in reasoning, dialogue, and multilingual tasks, supporting diverse applications such as code generation, mathematical reasoning, and natural language processing. Its primary advantages include efficient reasoning capabilities and problem-solving skills for complex tasks, while also supporting both open-source and commercial use. This model is suitable for enterprises and research institutions that require high-performance language generation and reasoning abilities.

Powerful reasoning capabilities
supporting multi-step reasoning for complex problems.
Optimized dialogue generation for smooth natural language interactions.
Support for code generation and programming assistance
enhancing development efficiency.
Multilingual support
suitable for text generation tasks in various languages.
Open-source model architecture
allowing users to customize and extend functionalities.

This model is designed for enterprises
research institutions
and developers who require high-performance language generation and reasoning capabilities
particularly in scenarios that involve solving complex problems.

In the education sector
teachers can utilize this model to generate teaching materials or assist students in programming learning.
Businesses can develop intelligent customer service systems using this model to enhance service quality.
Researchers can base their natural language processing studies on this model to explore new application scenarios.

1. Visit the official Hugging Face page to download the DeepSeek-R1-Distill-Llama-70B model.
2. Load the model using a supported deep learning framework
such as PyTorch.
3. Adjust the model parameters (e.g.
temperature

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DeepSeek-R1-Distill-Llama-70B

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DeepSeek-R1-Distill-Llama-8B — DeepSeek-R1-Distill-Llama-8B is a high-performance open-source language model suitable for text generation and inference tasks.

InternLM3-8B-Instruct — InternLM3-8B-Instruct is an open-source instruction model with 8 billion parameters designed for general-purpose use and advanced reasoning.

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Open-O1 — An open-source large language model matching proprietary capabilities.

DeepSeek-R1-Distill-Qwen-1.5B — DeepSeek-R1-Distill-Qwen-1.5B is an efficient inference open-source language model suitable for various natural language processing tasks.

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InternVL2_5-78B-MPO — This is an advanced series of multimodal large language models that demonstrate outstanding overall performance.

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VITA-1.5 — VITA-1.5: A GPT-4o level multimodal large language model for real-time visual and speech interaction.

PRIME-RL — PRIME enhances the reasoning abilities of language models through implicit reward-driven online reinforcement learning.

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Unitree RL GYM — Unitree robot platform for reinforcement learning

Deepthought-8B — A small inference model based on LLaMA-3.1 8B, implementing transparent and controllable AI reasoning.

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QwQ-32B-Preview — An experimental research model developed by the Qwen team, focusing on enhancing AI reasoning capabilities.

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Qwen2.5-Coder-14B-Instruct — A 14 billion parameter code generation model in the Qwen2.5-Coder series.

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