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Ana V1 M7 by Sao10K

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  Autotrain compatible   En   Endpoints compatible   License:cc-by-nc-4.0   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Ana-v1-m7 

Ana V1 M7 Benchmarks

ARC: 67.41 vs 96.7 (so35)-30.3%
HellaSwag: 85.98 vs 95.3 (gpt4)-9.8%
MMLU: 64.43 vs 88.3 (so35)-27%
TruthfulQA: 55.03 vs 59 (gpt4)-6.7%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 52.54 vs 96.4 (so35)-45.5%
LLME Score: 0.26321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ana V1 M7 (Sao10K/Ana-v1-m7)
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Ana V1 M7 Parameters and Internals

LLM NameAna V1 M7
Repository 🤗https://huggingface.co/Sao10K/Ana-v1-m7 
Model Size7b
Required VRAM14.5 GB
Updated2024-07-04
MaintainerSao10K
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Ana V1 M7

Model
Likes
Downloads
VRAM
Ana V1 M7 GGUF71613 GB
Ana V1 M7 GPTQ284 GB
Ana V1 M7 AWQ284 GB

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Note: green Score (e.g. "73.2") means that the model is better than Sao10K/Ana-v1-m7.

Rank the Ana V1 M7 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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