WorldPM-72B is a world preference modeling model fine-tuned based on Qwen2.5-72B, learning unified human preference representations through large-scale training

Natural Language ProcessingTransformersEnglish

The GGUF quantized version of Qwen2.5-72B-Instruct, supporting multiple precision formats for efficient inference across different hardware environments.

Natural Language ProcessingGgufEnglish

A high-performance mathematical reasoning and general knowledge processing model distilled from Qwen2.5-72B through reinforcement learning, excelling in mathematical reasoning and general knowledge tasks.

Natural Language ProcessingSafetensorsMultiple Languages

A high-performance distilled model optimized for mathematics and general reasoning, refined from Qwen2.5-72B through reinforcement learning

Natural Language ProcessingSafetensorsMultiple Languages

Qwen2.5-72B-GeoGPT is a tool developed based on large language models to promote earth science research. It enhances its capabilities in the professional field of earth science through a series of post - training processes on top of advanced foundation models.

Natural Language ProcessingTransformers

Cogito-Maximus is an advanced text generation model optimized based on the Qwen2.5-72B instruction fine-tuning model. It uses Unsloth for accelerated training and the TRL fine-tuning framework, and is suitable for various text generation scenarios.

Natural Language ProcessingTransformersMultiple Languages

Quantized version based on Qwen2.5-72B-Instruct, processed with llama.cpp for various quantization levels, suitable for local inference

Natural Language ProcessingGguf

Open-source medical large language model, achieving state-of-the-art performance in multiple medical tasks, developed based on Qwen2.5-72B

Natural Language ProcessingTransformersEnglish

A large language model fine-tuned based on Qwen2.5-72B, specializing in text generation and instruction-following tasks

Natural Language ProcessingTransformers

calme-3.2-instruct-78b is an advanced iterative version based on Qwen2.5-72B, a general-domain large language model with enhanced capabilities through self-merging and fine-tuning.

Natural Language ProcessingTransformersEnglish

calme-3.1-instruct-78b is an advanced iteration based on Qwen2.5-72B, a general-domain large language model enhanced through self-merging and fine-tuning

Natural Language ProcessingTransformersEnglish

EVA Qwen2.5-72B v0.1 is a professional role-playing and story writing model fine-tuned with full parameters based on Qwen2.5-72B. This model is trained on a mixed dataset of synthetic data and natural data, focusing on enhancing role-playing and creative writing abilities, and performing excellently in instruction following, long context understanding, and overall coherence.

Natural Language ProcessingTransformers

Rombos-LLM-V2.5-Qwen-72b is a continuously fine-tuned version of Qwen2.5-72B. It combines the instruction model and the base model through a specific method, showing better performance.

Natural Language ProcessingTransformers

This is a small-scale debugging model randomly initialized based on the configuration of Qwen2.5-72B-Instruct, mainly used for development and testing work. The model parameter scale is significantly reduced, facilitating the rapid verification and debugging of related functions.

Natural Language ProcessingTransformers

This is a series of models fine-tuned based on Qwen2.5-72B-Instruct, aiming to imitate the prose quality of the Claude 3 models (especially Sonnet and Opus).

Natural Language ProcessingTransformersEnglish

Advanced language model fine-tuned based on Qwen/Qwen2.5-72B-Instruct, excelling in natural language understanding and generation

Natural Language ProcessingTransformersEnglish

Qwen2.5-72B-Instruct is a large-scale language model developed by the Tongyi Qianwen team at Alibaba, with 72.7 billion parameters. This model has significant improvements in knowledge understanding, coding ability, mathematical reasoning, and multilingual support. It supports a context length of up to 128K tokens and can generate content of up to 8K tokens.

Natural Language ProcessingGgufMultiple Languages

Qwen2.5-72B-Instruct is a large language model with 72 billion parameters launched by Alibaba. It has been significantly improved on the basis of Qwen2, with rich knowledge reserves, excellent coding and mathematical abilities, supports long text processing and multilingual interaction, and can provide users with high-quality text generation and dialogue services.

Natural Language ProcessingSafetensorsEnglish