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Platypus2 70B Instruct GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Platypus2 70B Instruct GPTQ   URL Share it on

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

Platypus2 70B Instruct GPTQ Benchmarks

LLME Score: 0.13191
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 GPTQ (TheBloke/Platypus2-70B-Instruct-GPTQ)

Platypus2 70B Instruct GPTQ Parameters and Internals

Model Type 
llama, auto-regressive language model
Supported Languages 
en (English)
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Instruction fine-tuned using LoRA on 8 A100 80GB.
Hardware Used:
8 A100 80GB
Model Architecture:
Based on LLaMA 2 transformer architecture.
Input Output 
Input Format:
### Instruction: {prompt} ### Response:
LLM NamePlatypus2 70B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/Platypus2-70B-Instruct-GPTQ 
Model NamePlatypus2 70B Instruct
Model Creatorgarage-bAInd
Base Model(s)  Platypus2 70B Instruct   garage-bAInd/Platypus2-70B-instruct
Model Size70b
Required VRAM35.3 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  35.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

Rank the Platypus2 70B Instruct GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241217
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