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Norns Qwen2.5 12B by win10

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  Merged Model   Autotrain compatible Base model:finetune:win10/norn... Base model:win10/norns-qwen2.5...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/win10/Norns-Qwen2.5-12B 

Norns Qwen2.5 12B Benchmarks

MMLU Pro: 18.45
GPQA: 4.47
MUSR: 2.2
BBH: 23.77
IFEval: 48.97 vs 88 (so35)-44.4%
MATH Lvl 5: 8.38
LLME Score: 0.27847
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 12B (win10/Norns-Qwen2.5-12B)

Norns Qwen2.5 12B Parameters and Internals

LLM NameNorns Qwen2.5 12B
Repository 🤗https://huggingface.co/win10/Norns-Qwen2.5-12B 
Base Model(s)  win10/Norns-Qwen2.5-7B   win10/Norns-Qwen2.5-7B
Merged ModelYes
Model Size7b
Required VRAM21.5 GB
Updated2025-02-22
Maintainerwin10
Model Typeqwen2
Model Files  1.1 GB: 1-of-51   1.1 GB: 2-of-51   0.5 GB: 3-of-51   0.5 GB: 4-of-51   0.4 GB: 5-of-51   0.5 GB: 6-of-51   0.4 GB: 7-of-51   0.5 GB: 8-of-51   0.4 GB: 9-of-51   0.5 GB: 10-of-51   0.4 GB: 11-of-51   0.5 GB: 12-of-51   0.4 GB: 13-of-51   0.5 GB: 14-of-51   0.4 GB: 15-of-51   0.5 GB: 16-of-51   0.4 GB: 17-of-51   0.5 GB: 18-of-51   0.4 GB: 19-of-51   0.5 GB: 20-of-51   0.4 GB: 21-of-51   0.5 GB: 22-of-51   0.4 GB: 23-of-51   0.5 GB: 24-of-51   0.5 GB: 25-of-51   0.4 GB: 26-of-51   0.5 GB: 27-of-51   0.4 GB: 28-of-51   0.5 GB: 29-of-51   0.4 GB: 30-of-51   0.5 GB: 31-of-51   0.4 GB: 32-of-51   0.5 GB: 33-of-51   0.5 GB: 34-of-51   0.5 GB: 35-of-51   0.5 GB: 36-of-51   0.5 GB: 37-of-51   0.5 GB: 38-of-51   0.4 GB: 39-of-51   0.5 GB: 40-of-51   0.4 GB: 41-of-51   0.5 GB: 42-of-51   0.4 GB: 43-of-51   0.5 GB: 44-of-51
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than win10/Norns-Qwen2.5-12B.

Rank the Norns Qwen2.5 12B Capabilities

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