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Camelidae 8x13B by hywu

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  1160   
  Arxiv:1902.00751   Arxiv:2212.05055   Arxiv:2305.14314   Arxiv:2401.02731   Autotrain compatible   Camelidae   Custom code Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Dataset:meta-math/metamathqa   Dataset:open-orca/slimorca   En   Endpoints compatible   Instruct   Moe   Pytorch   Region:us   Sharded

Camelidae 8x13B Benchmarks

ARC: 61.18 vs 96.7 (so35)-36.7%
HellaSwag: 82.73 vs 95.3 (gpt4)-13.2%
MMLU: 57.21 vs 88.3 (so35)-35.2%
TruthfulQA: 43.37 vs 59 (gpt4)-26.5%
WinoGrande: 77.35 vs 87.5 (gpt4)-11.6%
GSM8K: 34.57 vs 96.4 (so35)-64.1%
LLME Score: 0.22196
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Camelidae 8x13B Parameters and Internals

LLM NameCamelidae 8x13B
Repository 🤗https://huggingface.co/hywu/Camelidae-8x13B 
Required VRAM29.4 GB
Updated2024-10-04
Maintainerhywu
Model Typecamelidae
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   9.6 GB: 3-of-3
Supported Languagesen
Model Architecturemodeling_camelidae.LlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Camelidae 8x13B (hywu/Camelidae-8x13B)

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Note: green Score (e.g. "73.2") means that the model is better than hywu/Camelidae-8x13B.

Rank the Camelidae 8x13B 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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