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Sakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp by invalid-coder

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Instruct Jeonsworld/carbonvillain-en-10...   Kyujinpy/sakura-solar-instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Sakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp Benchmarks

MMLU Pro: 23.84
GPQA: 7.38
MUSR: 8.77
BBH: 31.64
IFEval: 45.55 vs 88 (so35)-48.2%
ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 88.42 vs 95.3 (gpt4)-7.2%
MMLU: 66.31 vs 88.3 (so35)-24.9%
TruthfulQA: 71.94 vs 59 (gpt4)21.9%
WinoGrande: 83.43 vs 87.5 (gpt4)-4.7%
GSM8K: 65.35 vs 96.4 (so35)-32.2%
LLME Score: 0.28495
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Sakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model, NeuralPipe-7B-slerp, is a merge of the jeonsworld/CarbonVillain-en-10.7B-v2 and kyujinpy/Sakura-SOLAR-Instruct models using the LazyMergekit.
LLM NameSakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp
Repository 🤗https://huggingface.co/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp 
Merged ModelYes
Model Size10.7b
Required VRAM21.4 GB
Updated2024-11-21
Maintainerinvalid-coder
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-11   2.0 GB: 2-of-11   1.9 GB: 3-of-11   1.9 GB: 4-of-11   2.0 GB: 5-of-11   2.0 GB: 6-of-11   1.9 GB: 7-of-11   2.0 GB: 8-of-11   1.9 GB: 9-of-11   2.0 GB: 10-of-11   1.8 GB: 11-of-11
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Sakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp (invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp)

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Rank the Sakura SOLAR Instruct CarbonVillain En 10.7B V2 Slerp 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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Release v20241110
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