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Dark Miqu 70B Bpw4.4 EXL2 by blockblockblock

 »  All LLMs  »  blockblockblock  »  Dark Miqu 70B Bpw4.4 EXL2   URL Share it on

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  Arxiv:2403.19522   Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/blockblockblock/Dark-Miqu-70B-bpw4.4-exl2 

Dark Miqu 70B Bpw4.4 EXL2 Benchmarks

LLME Score: 0.18465
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dark Miqu 70B Bpw4.4 EXL2 (blockblockblock/Dark-Miqu-70B-bpw4.4-exl2)

Dark Miqu 70B Bpw4.4 EXL2 Parameters and Internals

Model Type 
creative writing, text generation
Use Cases 
Areas:
creative writing
Applications:
Dark/Grimdark fantasy writing
Primary Use Cases:
creative writing, especially in the Dark/Grimdark fantasy genre
Additional Notes 
The model has a reduced positivity bias and is tailored for dark and grim narratives.
Training Details 
Methodology:
Created using Mergekit and based on spherical interpolation (slerp) merges between multiple models to enhance 'dark' writing capabilities.
Context Length:
32000
Input Output 
Input Format:
Vicuna format preferred, Mistral and Alpaca formats also supported
Output Format:
Narratives and stories, especially in dark themes
LLM NameDark Miqu 70B Bpw4.4 EXL2
Repository 🤗https://huggingface.co/blockblockblock/Dark-Miqu-70B-bpw4.4-exl2 
Model Size70b
Required VRAM38.5 GB
Updated2025-02-22
Maintainerblockblockblock
Model Typellama
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   4.1 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32764
Model Max Length32764
Transformers Version4.39.3
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 blockblockblock/Dark-Miqu-70B-bpw4.4-exl2.

Rank the Dark Miqu 70B Bpw4.4 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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