Hush Qwen2.5 7B RP V1.2 1M by marcuscedricridia

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Hush Qwen2.5 7B RP V1.2 1M is an open-source language model by marcuscedricridia. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2408.07990 Base model:marcuscedricridia/h... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Hush Qwen2.5 7B RP V1.2 1M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hush Qwen2.5 7B RP V1.2 1M (marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.2-1M)
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Hush Qwen2.5 7B RP V1.2 1M Parameters and Internals

LLM NameHush Qwen2.5 7B RP V1.2 1M
Repository ๐Ÿค—https://huggingface.co/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.2-1M 
Base Model(s)  marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.2   Qwen/Qwen2.5-7B-Instruct-1M   marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.2   Qwen/Qwen2.5-7B-Instruct-1M
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-03-17
Maintainermarcuscedricridia
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.2-1M.

Rank the Hush Qwen2.5 7B RP V1.2 1M Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a