OrcaMaidXL 17B 32K 6.0bpw H6 EXL2 by LoneStriker

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OrcaMaidXL 17B 32K 6.0bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OrcaMaidXL 17B 32K 6.0bpw H6 EXL2 (LoneStriker/OrcaMaidXL-17B-32k-6.0bpw-h6-exl2)
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OrcaMaidXL 17B 32K 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Combination of Microsoft's Orca-2-13b and Undi and IkariDev's Noromaid-v0.2-13b.
Training Details 
Methodology:
Frankenmerge of Orca-2-13b and Noromaid-v0.2-13b
Context Length:
32768
Input Output 
Input Format:
Alpaca prompt format
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Customize the system prompt for best results
LLM NameOrcaMaidXL 17B 32K 6.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/OrcaMaidXL-17B-32k-6.0bpw-h6-exl2 
Model Size17b
Required VRAM13.4 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-2   4.8 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OrcaMaidXL-17B-32k-6.0bpw-h6-exl2.

Rank the OrcaMaidXL 17B 32K 6.0bpw H6 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124