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Pre Cursa O1 V1.4 by marcuscedricridia

 »  All LLMs  »  marcuscedricridia  »  Pre Cursa O1 V1.4   URL Share it on

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  Merged Model   Arxiv:2406.11617   Autotrain compatible Base model:marcuscedricridia/a... Base model:marcuscedricridia/c... Base model:marcuscedricridia/s...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/pre-cursa-o1-v1.4 

Pre Cursa O1 V1.4 Benchmarks

MMLU Pro: 38.17
GPQA: 7.38
MUSR: 12.83
BBH: 35.98
IFEval: 74.88 vs 88 (so35)-14.9%
MATH Lvl 5: 48.34
LLME Score: 0.32938
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pre Cursa O1 V1.4 (marcuscedricridia/pre-cursa-o1-v1.4)
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Pre Cursa O1 V1.4 Parameters and Internals

LLM NamePre Cursa O1 V1.4
Repository 🤗https://huggingface.co/marcuscedricridia/pre-cursa-o1-v1.4 
Base Model(s)  Cursa O1 7B   Sbr O1 7B   Absolute O1 7B   marcuscedricridia/cursa-o1-7b   marcuscedricridia/sbr-o1-7b   marcuscedricridia/absolute-o1-7b
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
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 Size151665
Torch Data Typebfloat16
Errorsreplace

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Hush Qwen2.5 7B V1.2986K / 15.2 GB111
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Hush Qwen2.5 7B V1.4986K / 15.2 GB121
Hush Qwen2.5 7B V1.3986K / 15.2 GB122
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB152
Qwen2.5 7B Preview986K / 15.2 GB110
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/pre-cursa-o1-v1.4.

Rank the Pre Cursa O1 V1.4 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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