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ORCA LLaMA 70B QLoRA by fangloveskari

 »  All LLMs  »  fangloveskari  »  ORCA LLaMA 70B QLoRA   URL Share it on

  1274   
  Arxiv:2306.02707   Arxiv:2308.07317   Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/fangloveskari/ORCA_LLaMA_70B_QLoRA 

ORCA LLaMA 70B QLoRA Benchmarks

ARC: 72.27 vs 96.7 (so35)-25.3%
HellaSwag: 87.74 vs 95.3 (gpt4)-7.9%
MMLU: 70.23 vs 88.3 (so35)-20.5%
TruthfulQA: 63.37 vs 59 (gpt4)7.4%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 28.35 vs 96.4 (so35)-70.6%
LLME Score: 0.17099
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ORCA LLaMA 70B QLoRA (fangloveskari/ORCA_LLaMA_70B_QLoRA)

ORCA LLaMA 70B QLoRA Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
Dolphin, Open-Platypus, OpenOrca
Methodology:
Fine-tuned using a mixed strategy: 100% Open-Platypus + ~1% Dolphin (GPT-4) + ~1% OpenOrca (GPT-4)
Hardware Used:
8xA100 (80G)
LLM NameORCA LLaMA 70B QLoRA
Repository 🤗https://huggingface.co/fangloveskari/ORCA_LLaMA_70B_QLoRA 
Model Size70b
Required VRAM138 GB
Updated2024-12-21
Maintainerfangloveskari
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
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 ORCA LLaMA 70B QLoRA

Model
Likes
Downloads
VRAM
ORCA LLaMA 70B QLoRA GGUF1251829 GB
ORCA LLaMA 70B QLoRA AWQ12136 GB
ORCA LLaMA 70B QLoRA GPTQ33635 GB

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Note: green Score (e.g. "73.2") means that the model is better than fangloveskari/ORCA_LLaMA_70B_QLoRA.

Rank the ORCA LLaMA 70B QLoRA 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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Release v20241217
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