Camel Platypus2 70B AWQ by TheBloke

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  Arxiv:2307.09288   Arxiv:2308.07317   4-bit   Autotrain compatible   Awq Base model:garage-baind/camel-... Base model:quantized:garage-ba... Dataset:garage-baind/open-plat...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

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

Model Type 
auto-regressive language model, transformer architecture
Additional Notes 
Model is unquantized in the original version but supports multiple quantization methods for efficient 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:
LLaMA 2
Responsible Ai Considerations 
Fairness:
Testing conducted to date has been in English, and may not cover all scenarios.
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to specific applications.
Input Output 
Input Format:
Instruction-response format.
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings.
LLM NameCamel Platypus2 70B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Camel-Platypus2-70B-AWQ 
Model NameCamel Platypus2 70B
Model Creatorgarage-bAInd
Base Model(s)  Camel Platypus2 70B   garage-bAInd/Camel-Platypus2-70B
Model Size70b
Required VRAM36.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Camel Platypus2 70B AWQ 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 v20241124