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CAMEL 33B Combined Data by camel-ai

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

CAMEL 33B Combined Data Benchmarks

ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 83.83 vs 95.3 (gpt4)-12%
MMLU: 58.98 vs 88.3 (so35)-33.2%
TruthfulQA: 50.21 vs 59 (gpt4)-14.9%
WinoGrande: 78.3 vs 87.5 (gpt4)-10.5%
GSM8K: 14.1 vs 96.4 (so35)-85.4%
LLME Score: 0.16376
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CAMEL 33B Combined Data Parameters and Internals

LLM NameCAMEL 33B Combined Data
Repository 🤗https://huggingface.co/camel-ai/CAMEL-33B-Combined-Data 
Model Size33b
Required VRAM65.4 GB
Updated2024-09-07
Maintainercamel-ai
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.9 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
CAMEL 33B Combined Data (camel-ai/CAMEL-33B-Combined-Data)

Quantized Models of the CAMEL 33B Combined Data

Model
Likes
Downloads
VRAM
CAMEL 33B Combined Data GGUF14113 GB
CAMEL 33B Combined Data AWQ22317 GB
CAMEL 33B Combined Data GPTQ51916 GB

Best Alternatives to CAMEL 33B Combined Data

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AutoCoder16K / 67 GB18992
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...dy Deepseekcoder 33B V16.1 32K16K / 67.1 GB7150
Note: green Score (e.g. "73.2") means that the model is better than camel-ai/CAMEL-33B-Combined-Data.

Rank the CAMEL 33B Combined Data 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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