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Platypus2 70B Instruct AWQ by TheBloke

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  Arxiv:2307.09288   Arxiv:2308.07317   4-bit   Autotrain compatible   Awq Base model:garage-baind/platyp... Base model:quantized:garage-ba... Dataset:garage-baind/open-plat...   Dataset:open-orca/openorca   En   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Platypus2-70B-Instruct-AWQ 

Platypus2 70B Instruct AWQ Benchmarks

LLME Score: 0.163
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platypus2 70B Instruct AWQ (TheBloke/Platypus2-70B-Instruct-AWQ)

Platypus2 70B Instruct AWQ Parameters and Internals

Model Type 
auto-regressive language model
Additional Notes 
AWQ is supported for faster inference with smaller GPUs.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
garage-bAInd/Open-Platypus, Open-Orca/OpenOrca
Methodology:
instruction fine-tuned using LoRA on 8 A100 80GB.
Hardware Used:
8 A100 80GB GPUs
Model Architecture:
LLaMA 2 transformer architecture
Input Output 
Input Format:
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 NamePlatypus2 70B Instruct AWQ
Repository 🤗https://huggingface.co/TheBloke/Platypus2-70B-Instruct-AWQ 
Model NamePlatypus2 70B Instruct
Model Creatorgarage-bAInd
Base Model(s)  Platypus2 70B Instruct   garage-bAInd/Platypus2-70B-instruct
Model Size70b
Required VRAM36.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
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 Version4.31.0
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/Platypus2-70B-Instruct-AWQ.

Rank the Platypus2 70B Instruct 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 v20241217
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