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Norns Qwen2.5 7B by win10

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  Merged Model Base model:win10/skuld-qwen2.5... Base model:win10/urdandi-qwen2...   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/win10/Norns-Qwen2.5-7B 

Norns Qwen2.5 7B Benchmarks

MMLU Pro: 26.82
GPQA: 4.59
MUSR: 9.13
BBH: 30.25
IFEval: 61.22 vs 88 (so35)-30.4%
MATH Lvl 5: 26.28
LLME Score: 0.26488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Norns Qwen2.5 7B (win10/Norns-Qwen2.5-7B)
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Norns Qwen2.5 7B Parameters and Internals

LLM NameNorns Qwen2.5 7B
Repository 🤗https://huggingface.co/win10/Norns-Qwen2.5-7B 
Base Model(s)  win10/Urdandi-Qwen2.5-7B   win10/Skuld-Qwen2.5-7B   win10/Urdandi-Qwen2.5-7B   win10/Skuld-Qwen2.5-7B
Merged ModelYes
Model Size7b
Required VRAM16.2 GB
Updated2025-02-15
Maintainerwin10
Model Typeqwen2
Model Files  1.1 GB: 1-of-30   1.1 GB: 2-of-30   0.5 GB: 3-of-30   0.5 GB: 4-of-30   0.5 GB: 5-of-30   0.5 GB: 6-of-30   0.5 GB: 7-of-30   0.5 GB: 8-of-30   0.5 GB: 9-of-30   0.5 GB: 10-of-30   0.5 GB: 11-of-30   0.5 GB: 12-of-30   0.5 GB: 13-of-30   0.5 GB: 14-of-30   0.5 GB: 15-of-30   0.5 GB: 16-of-30   0.5 GB: 17-of-30   0.5 GB: 18-of-30   0.5 GB: 19-of-30   0.5 GB: 20-of-30   0.5 GB: 21-of-30   0.5 GB: 22-of-30   0.5 GB: 23-of-30   0.5 GB: 24-of-30   0.5 GB: 25-of-30   0.5 GB: 26-of-30   0.5 GB: 27-of-30   0.5 GB: 28-of-30   0.5 GB: 29-of-30   0.5 GB: 30-of-30
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<pad>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than win10/Norns-Qwen2.5-7B.

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