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Mergekit Dare Ties Afgxxsc by mergekit-community

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Mergekit Dare Ties Afgxxsc is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2311.03099 Base model:dreamgen/lucid-v1-n... Base model:readyart/omega-dark...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-dare_ties-afgxxsc 

Mergekit Dare Ties Afgxxsc Benchmarks

LLME Score: 0.18715
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Dare Ties Afgxxsc (mergekit-community/mergekit-dare_ties-afgxxsc)
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Mergekit Dare Ties Afgxxsc Parameters and Internals

LLM NameMergekit Dare Ties Afgxxsc
Repository 🤗https://huggingface.co/mergekit-community/mergekit-dare_ties-afgxxsc 
Base Model(s)  ...Darker The Final Directive 12B   Lucid V1 Nemo   Dark Science 12B   ReadyArt/Omega-Darker_The-Final-Directive-12B   dreamgen/lucid-v1-nemo   ftamas/Dark-Science-12B
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-05-12
Maintainermergekit-community
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131077
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-dare_ties-afgxxsc.

Rank the Mergekit Dare Ties Afgxxsc 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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