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EVA Norns Qwen2.5 V0.1 by win10

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:win10/urdandi-qwen2...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/win10/EVA-Norns-Qwen2.5-v0.1 

EVA Norns Qwen2.5 V0.1 Benchmarks

MMLU Pro: 26.94
GPQA: 4.7
MUSR: 8.56
BBH: 30.06
IFEval: 62.2 vs 88 (so35)-29.3%
MATH Lvl 5: 26.13
LLME Score: 0.29902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVA Norns Qwen2.5 V0.1 (win10/EVA-Norns-Qwen2.5-v0.1)

EVA Norns Qwen2.5 V0.1 Parameters and Internals

LLM NameEVA Norns Qwen2.5 V0.1
Repository 🤗https://huggingface.co/win10/EVA-Norns-Qwen2.5-v0.1 
Base Model(s)  EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   win10/Urdandi-Qwen2.5-7B   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   win10/Urdandi-Qwen2.5-7B
Merged ModelYes
Model Size7b
Required VRAM16.2 GB
Updated2025-03-18
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 Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B RRP 1M986K / 15.2 GB1786
Qwen2.5 7B Preview986K / 15.2 GB220
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Note: green Score (e.g. "73.2") means that the model is better than win10/EVA-Norns-Qwen2.5-v0.1.

Rank the EVA Norns Qwen2.5 V0.1 Capabilities

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Instruction Following and Task Automation  
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