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Olmner Della 7B by marcuscedricridia

 »  All LLMs  »  marcuscedricridia  »  Olmner Della 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:ehristoforu/fq2.5-7... Base model:etherll/qwen2.5-7b-... Base model:marcuscedricridia/o...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/olmner-della-7b 

Olmner Della 7B Benchmarks

MMLU Pro: 37.62
GPQA: 6.82
MUSR: 11.8
BBH: 35.9
IFEval: 76.37 vs 88 (so35)-13.2%
MATH Lvl 5: 49.62
LLME Score: 0.37902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Olmner Della 7B (marcuscedricridia/olmner-della-7b)

Olmner Della 7B Parameters and Internals

LLM NameOlmner Della 7B
Repository 🤗https://huggingface.co/marcuscedricridia/olmner-della-7b 
Base Model(s)  Etherll/Qwen2.5-7B-della-test   Olmner 7B   ehristoforu/fq2.5-7b-it-normalize_false   Etherll/Qwen2.5-7B-della-test   marcuscedricridia/olmner-7b   ehristoforu/fq2.5-7b-it-normalize_false
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-03-12
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 Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/olmner-della-7b.

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Release v20241227
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