Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G by Kotokin

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Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G is an open-source language model by Kotokin. Features: 70b LLM, VRAM: 40.7GB, Context: 31K, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2307.11760   4bit   Conversational   Endpoints compatible   Gptq   Llama   Merge   Mergekit   Quantized   Region:us

Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G (Kotokin/sophosympatheia_Midnight-Miqu-70B-v1.0_GPTQ32G)
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Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G Parameters and Internals

Model Type 
text generation, roleplaying, storytelling
Use Cases 
Areas:
personal use, roleplaying, storytelling
Applications:
creative writing, roleplaying games
Primary Use Cases:
roleplaying interactions, story creation
Limitations:
performance not tested in other areas
Considerations:
Be aware of the risks of using a model with leaked weights.
Additional Notes 
The model incorporates features from both Midnight Rose and Miqu with improved long-context support.
Input Output 
Accepted Modalities:
text
Performance Tips:
Experiment with settings such as Quadratic Sampling and Min-P for creative outcomes. Adjust alpha_rope for context extension.
LLM NameSophosympatheia Midnight Miqu 70B V1.0 GPTQ32G
Repository ๐Ÿค—https://huggingface.co/Kotokin/sophosympatheia_Midnight-Miqu-70B-v1.0_GPTQ32G 
Model Size70b
Required VRAM40.7 GB
Updated2026-03-29
MaintainerKotokin
Model Typellama
Model Files  40.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.37.2
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 Kotokin/sophosympatheia_Midnight-Miqu-70B-v1.0_GPTQ32G.

Rank the Sophosympatheia Midnight Miqu 70B V1.0 GPTQ32G 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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Release v20260328a