Skywork 13B Airoboros Test 5.0bpw H6 EXL2 by LoneStriker

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  Arxiv:2310.16713   Arxiv:2310.19341   Autotrain compatible   Custom code Dataset:jondurbin/airoboros-3....   Exl2   Pytorch   Quantized   Region:us   Sharded   Skywork   Tensorflow

Skywork 13B Airoboros Test 5.0bpw 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").
Skywork 13B Airoboros Test 5.0bpw H6 EXL2 (LoneStriker/Skywork-13B-airoboros-test-5.0bpw-h6-exl2)
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Skywork 13B Airoboros Test 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, multilingual, multimodal
Use Cases 
Areas:
research, commercial applications
Considerations:
Do not use Skywork for national or societal threats or unlawful activities; appropriate security reviews required for internet services use
Supported Languages 
languages_supported_demographics_levels (:{"Chinese":"proficient","English":"proficient","code":"proficient"})
Training Details 
Data Sources:
jondurbin/airoboros-3.1, 3.2 trillion multilingual and code data
Data Volume:
3.2 trillion
Methodology:
Data cleaning pipeline, Byte-Pair Encoding tokenization
Model Architecture:
52 layers, 12288 FFN Dim, 4608 Hidden Dim
Input Output 
Input Format:
Byte-Pair Encoding (BPE)
Accepted Modalities:
text
Output Format:
text
LLM NameSkywork 13B Airoboros Test 5.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Skywork-13B-airoboros-test-5.0bpw-h6-exl2 
Model Size13b
Required VRAM9.1 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typeskywork
Model Files  8.6 GB: 1-of-2   0.5 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureSkyworkForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size65519
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Skywork-13B-airoboros-test-5.0bpw-h6-exl2.

Rank the Skywork 13B Airoboros Test 5.0bpw 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124