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Stray R1o Et by marcuscedricridia

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Stray R1o Et is an open-source language model by marcuscedricridia. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2311.03099 Base model:huihui-ai/deepseek-... Base model:marcuscedricridia/c... Base model:suayptalha/clarus-7...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/stray-r1o-et 

Stray R1o Et Benchmarks

LLME Score: 0.19054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stray R1o Et (marcuscedricridia/stray-r1o-et)
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Stray R1o Et Parameters and Internals

LLM NameStray R1o Et
Repository 🤗https://huggingface.co/marcuscedricridia/stray-r1o-et 
Base Model(s)  Cursa O1 7B   ...Distill Qwen 7B Abliterated V2   suayptalha/Clarus-7B-v0.2   marcuscedricridia/cursa-o1-7b   huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2   suayptalha/Clarus-7B-v0.2
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-05-01
Maintainermarcuscedricridia
Model Typeqwen2
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 Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151672
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Stray R1o Et

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.1986K / 15.2 GB191
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Qwen2.5 7B MixStock V0.1986K / 15.2 GB113
Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/stray-r1o-et.

Rank the Stray R1o Et 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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