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Loki V0.1 Virtuoso by neopolita

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Base model:arcee-ai/virtuoso-s... Base model:finetune:arcee-ai/v...   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/neopolita/loki-v0.1-virtuoso 

Loki V0.1 Virtuoso Benchmarks

MMLU Pro: 45.88
GPQA: 13.42
MUSR: 14.32
BBH: 49.45
IFEval: 78.19 vs 88 (so35)-11.1%
MATH Lvl 5: 33.91
LLME Score: 0.3642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Loki V0.1 Virtuoso (neopolita/loki-v0.1-virtuoso)

Loki V0.1 Virtuoso Parameters and Internals

LLM NameLoki V0.1 Virtuoso
Repository 🤗https://huggingface.co/neopolita/loki-v0.1-virtuoso 
Base Model(s)  Virtuoso Small   arcee-ai/Virtuoso-Small
Model Size14.8b
Required VRAM29.7 GB
Updated2025-02-22
Maintainerneopolita
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
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 neopolita/loki-v0.1-virtuoso.

Rank the Loki V0.1 Virtuoso 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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