Camel Platypus2 70B GGML by TheBloke

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  Arxiv:2307.09288   Arxiv:2308.07317 Base model:finetune:garage-bai... Base model:garage-baind/camel-... Dataset:garage-baind/open-plat...   En   Ggml   Llama   Quantized   Region:us

Camel Platypus2 70B GGML Benchmarks

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 GGML (TheBloke/Camel-Platypus2-70B-GGML)
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Camel Platypus2 70B GGML Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
research, commercial applications
Limitations:
The model may produce inaccurate, biased or other objectionable responses.
Considerations:
Developers should perform safety testing and tuning tailored to their applications.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
STEM and logic based dataset, garage-bAInd/Open-Platypus
Methodology:
instruction fine-tuned using LoRA
Hardware Used:
8 A100 80GB GPUs
Model Architecture:
LLaMA 2 transformer architecture
LLM NameCamel Platypus2 70B GGML
Repository ๐Ÿค—https://huggingface.co/TheBloke/Camel-Platypus2-70B-GGML 
Model NameCamel Platypus2 70B
Model Creatorgarage-bAInd
Base Model(s)  Camel Platypus2 70B   garage-bAInd/Camel-Platypus2-70B
Model Size70b
Required VRAM28.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  28.6 GB   36.1 GB   33.0 GB   29.7 GB   38.9 GB   43.2 GB   41.4 GB   38.9 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124