Orca Mini 7B by pankajmathur

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  Arxiv:2306.02707   Autotrain compatible   Dataset:psmathur/alpaca orca   Dataset:psmathur/dolly-v2 orca   Dataset:psmathur/wizardlm orca   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Orca Mini 7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini 7B (pankajmathur/orca_mini_7b)

Orca Mini 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model integrates thought processes from ChatGPT (gpt-3.5-turbo-0301 version).
Training Details 
Data Sources:
psmathur/alpaca_orca, psmathur/dolly-v2_orca, psmathur/WizardLM_Orca
Methodology:
Leveraged Orca Research Paper for dataset construction, used DeepSpeed with FSDP, write custom fine-tuning scripts.
Context Length:
1024
Training Time:
7 Hours
Hardware Used:
8x A100(80G) GPUs
Input Output 
Input Format:
Prompts including system, user and optionally input information.
Accepted Modalities:
text
Output Format:
Text responses based on the input prompt.
LLM NameOrca Mini 7b
Repository ๐Ÿค—https://huggingface.co/pankajmathur/orca_mini_7b 
Model Size7b
Required VRAM27.1 GB
Updated2025-04-29
Maintainerpankajmathur
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6   4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the Orca Mini 7B

Model
Likes
Downloads
VRAM
Orca Mini V3 7b4026213 GB

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_7b.

Rank the Orca Mini 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227