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Camel Platypus2 70B GGUF by TheBloke

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  Arxiv:2307.09288   Arxiv:2308.07317 Base model:garage-baind/camel-... Base model:quantized:garage-ba... Dataset:garage-baind/open-plat...   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Camel-Platypus2-70B-GGUF 

Camel Platypus2 70B GGUF Benchmarks

LLME Score: 0.1095
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Camel Platypus2 70B GGUF (TheBloke/Camel-Platypus2-70B-GGUF)
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Camel Platypus2 70B GGUF Parameters and Internals

Model Type 
llama, auto-regressive, language model
Use Cases 
Limitations:
Testing primarily conducted in English, may produce inaccurate, biased, or objectionable responses.
Considerations:
Safety testing and tuning needed before deployment.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
STEM and logic-based dataset
Methodology:
instruction fine-tuning using LoRA
Hardware Used:
8 A100 80GB GPUs
Model Architecture:
based on the LLaMA 2 transformer architecture
Input Output 
Input Format:
Instruction: {prompt}
Accepted Modalities:
text
Output Format:
Response
LLM NameCamel Platypus2 70B GGUF
Repository 🤗https://huggingface.co/TheBloke/Camel-Platypus2-70B-GGUF 
Model NameCamel Platypus2 70B
Model Creatorgarage-bAInd
Base Model(s)  Camel Platypus2 70B   garage-bAInd/Camel-Platypus2-70B
Model Size70b
Required VRAM29.3 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  29.3 GB   36.1 GB   33.2 GB   29.9 GB   38.9 GB   41.4 GB   39.1 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Camel-Platypus2-70B-GGUF.

Rank the Camel Platypus2 70B GGUF 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  
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Release v20241124
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