Mergekit Passthrough Hdctkvu by mergekit-community

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Mergekit Passthrough Hdctkvu 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 Base model:delta-vector/rei-v2... Base model:hardlyworking/sapph... Base model:pygmalionai/pygmali... Base model:readyart/the-omega-... Base model:taozi555/deeprp-nem...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Passthrough Hdctkvu Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mergekit Passthrough Hdctkvu Parameters and Internals

LLM NameMergekit Passthrough Hdctkvu
Repository 🤗https://huggingface.co/mergekit-community/mergekit-passthrough-hdctkvu 
Base Model(s)  DeepRP Nemo 12B   Rei V2 12B   Pygmalion 3 12B   ReadyArt/The-Omega-Directive-M-12B-v1.0   Sapphire 12B   taozi555/deepRP-nemo-12b   Delta-Vector/Rei-V2-12B   PygmalionAI/Pygmalion-3-12B   ReadyArt/The-Omega-Directive-M-12B-v1.0   hardlyworking/Sapphire-12B
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-04-07
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 Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Impish Nemo 12B1000K / 24.5 GB207870
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-passthrough-hdctkvu.

Rank the Mergekit Passthrough Hdctkvu 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