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Platypus2 70B Instruct by garage-bAInd

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Platypus2 70B Instruct is an open-source language model by garage-bAInd. Features: 70b LLM, VRAM: 138GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, HF Score: 69.3, LLM Explorer Score: 0.13, Arc: 71.8, HellaSwag: 87.9, MMLU: 70.5, TruthfulQA: 62.3, WinoGrande: 82.7, GSM8K: 40.6.

  Arxiv:2307.09288   Arxiv:2308.07317 Dataset:garage-baind/open-plat...   Dataset:open-orca/openorca   Deploy:azure   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/garage-bAInd/Platypus2-70B-instruct 

Platypus2 70B Instruct Benchmarks

ARC: 71.84 vs 96.7 (so35)-25.7%
HellaSwag: 87.94 vs 95.3 (gpt4)-7.7%
MMLU: 70.48 vs 88.3 (so35)-20.2%
TruthfulQA: 62.26 vs 59 (gpt4)5.5%
WinoGrande: 82.72 vs 87.5 (gpt4)-5.5%
GSM8K: 40.56 vs 96.4 (so35)-57.9%
LLME Score: 0.12798
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 (garage-bAInd/Platypus2-70B-instruct)
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Platypus2 70B Instruct Parameters and Internals

Model Type 
auto-regressive, language model
Supported Languages 
English (native)
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Instruction fine-tuning using LoRA
Hardware Used:
8 A100 80GB GPUs
Model Architecture:
Transformer based on LLaMA 2
Input Output 
Input Format:
Instruction format
LLM NamePlatypus2 70B Instruct
Repository 🤗https://huggingface.co/garage-bAInd/Platypus2-70B-instruct 
Model Size70b
Required VRAM138 GB
Updated2026-03-31
Maintainergarage-bAInd
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15   9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
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

Quantized Models of the Platypus2 70B Instruct

Model
Likes
Downloads
VRAM
Platypus2 70B Instruct GGUF1038329 GB
Platypus2 70B Instruct AWQ1936 GB
Platypus2 70B Instruct GPTQ251035 GB
Platypus2 70B Instruct GGML15728 GB

Best Alternatives to Platypus2 70B Instruct

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Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB80224
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB13122
Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
...a 3 70B Instruct Gradient 262K256K / 141.9 GB1856
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB303
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB93
Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than garage-bAInd/Platypus2-70B-instruct.

Rank the Platypus2 70B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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