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Platypus 30B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Platypus 30B AWQ   URL Share it on

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  Arxiv:2302.13971   4-bit   Autotrain compatible   Awq Base model:garage-baind/platyp... Base model:quantized:garage-ba...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Platypus-30B-AWQ 

Platypus 30B AWQ Benchmarks

LLME Score: 0.1124
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platypus 30B AWQ (TheBloke/Platypus-30B-AWQ)
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Platypus 30B AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
research, education, natural language processing
Applications:
AI research, instructional content, automated text generation
Primary Use Cases:
text completion, question-answering, language understanding
Considerations:
Not suitable as a substitute for human judgment.
Additional Notes 
Platypus-30B is available in a quantized AWQ format for efficient inference, allowing use on smaller GPUs which can lead to cost savings.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
dataset of highly filtered and curated question and answer pairs
Methodology:
instruction fine-tuning with LoRA
Hardware Used:
4 A100 80GB GPUs
Model Architecture:
Auto-regressive language model based on the LLaMA transformer architecture
Input Output 
Input Format:
Formatted prompts using instruction template. Example: 'Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:'
Accepted Modalities:
text
Output Format:
Text
LLM NamePlatypus 30B AWQ
Repository 🤗https://huggingface.co/TheBloke/Platypus-30B-AWQ 
Model NamePlatypus 30B
Model Creatorlilloukas
Base Model(s)  lilloukas/Platypus-30B   lilloukas/Platypus-30B
Model Size30b
Required VRAM17.6 GB
Updated2025-08-19
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   7.6 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.0.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/Platypus-30B-AWQ.

Rank the Platypus 30B 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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Release v20241124
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