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HMS Slerp 12B V2 by yamatazen

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HMS Slerp 12B V2 is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

  Merged Model Base model:yamatazen/himeyuri-... Base model:yamatazen/shisa-v2-...   Chatml   Conversational   En   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/HMS-Slerp-12B-v2 

HMS Slerp 12B V2 Benchmarks

LLME Score: 0.18748
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HMS Slerp 12B V2 (yamatazen/HMS-Slerp-12B-v2)
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HMS Slerp 12B V2 Parameters and Internals

LLM NameHMS Slerp 12B V2
Repository 🤗https://huggingface.co/yamatazen/HMS-Slerp-12B-v2 
Base Model(s)  Himeyuri Magnum 12B   ...2 Mistral Nemo 12B Abliterated   yamatazen/Himeyuri-Magnum-12B   yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-05-14
Maintaineryamatazen
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
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yamatazen/HMS-Slerp-12B-v2.

Rank the HMS Slerp 12B V2 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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