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Wendigo 14B Alpha4 by MisterRid

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Wendigo 14B Alpha4 Benchmarks

ARC: 59.3 vs 96.7 (so35)-38.7%
HellaSwag: 79.65 vs 95.3 (gpt4)-16.4%
MMLU: 59.85 vs 88.3 (so35)-32.2%
TruthfulQA: 54.98 vs 59 (gpt4)-6.8%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 32.98 vs 96.4 (so35)-65.8%
LLME Score: 0.21632
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Wendigo 14B Alpha4 Parameters and Internals

LLM NameWendigo 14B Alpha4
Repository 🤗https://huggingface.co/MisterRid/wendigo-14b-alpha4 
Model Size14b
Required VRAM28.4 GB
Updated2024-09-07
MaintainerMisterRid
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   8.6 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Wendigo 14B Alpha4 (MisterRid/wendigo-14b-alpha4)

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Note: green Score (e.g. "73.2") means that the model is better than MisterRid/wendigo-14b-alpha4.

Rank the Wendigo 14B Alpha4 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 v2024072803
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