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Nyanade Stunna Maid 7B V0.2 by ChaoticNeutrals

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  Autotrain compatible Base model:merge:nitral-ai/nya... Base model:merge:nitral-archiv... Base model:nitral-ai/nyanade s... Base model:nitral-archive/layl...   Endpoints compatible   Gguf   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Nyanade Stunna Maid 7B V0.2 Benchmarks

ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 84.45 vs 95.3 (gpt4)-11.4%
MMLU: 63.45 vs 88.3 (so35)-28.1%
TruthfulQA: 50.42 vs 59 (gpt4)-14.5%
WinoGrande: 79.32 vs 87.5 (gpt4)-9.3%
GSM8K: 50.42 vs 96.4 (so35)-47.7%
LLME Score: 0.22517
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nyanade Stunna Maid 7B V0.2 Parameters and Internals

LLM NameNyanade Stunna Maid 7B V0.2
Repository 🤗https://huggingface.co/ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2 
Base Model(s)  Nyanade Stunna Maid 7B   Nitral-AI/Laylewcules-7B-v.02   Nitral-AI/Nyanade_Stunna-Maid-7B   Nitral-AI/Laylewcules-7B-v.02
Model Size7b
Required VRAM14.6 GB
Updated2024-10-18
MaintainerChaoticNeutrals
Model Typemistral
Model Files  0.6 GB   1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.0 GB: 8-of-8
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Nyanade Stunna Maid 7B V0.2 (ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2)

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2.

Rank the Nyanade Stunna Maid 7B V0.2 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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