Midnight Miqu 103B V1.5 3.5bpw H6 EXL2 by LoneStriker

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Midnight Miqu 103B V1.5 3.5bpw 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").
Midnight Miqu 103B V1.5 3.5bpw H6 EXL2 (LoneStriker/Midnight-Miqu-103B-v1.5-3.5bpw-h6-exl2)

Midnight Miqu 103B V1.5 3.5bpw H6 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
This is a 103B frankenmerge of Midnight-Miqu-70B-v1.5 with itself. Model is capable of 32K context.
LLM NameMidnight Miqu 103B V1.5 3.5bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Midnight-Miqu-103B-v1.5-3.5bpw-h6-exl2 
Merged ModelYes
Model Size103b
Required VRAM45.6 GB
Updated2025-05-10
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-6   8.6 GB: 2-of-6   8.5 GB: 3-of-6   8.5 GB: 4-of-6   8.5 GB: 5-of-6   3.0 GB: 6-of-6
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Midnight-Miqu-103B-v1.5-3.5bpw-h6-exl2.

Rank the Midnight Miqu 103B V1.5 3.5bpw 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 v20241227