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Still by DreadPoor

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Still is an open-source language model by DreadPoor. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:dreadpoor/irix-12b-... Base model:dreadpoor/ym-12b-mo... Base model:yamatazen/aurora-sc... Base model:yamatazen/ayla-ligh...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DreadPoor/Still 

Still Benchmarks

LLME Score: 0.19284
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Still (DreadPoor/Still)
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Still Parameters and Internals

LLM NameStill
Repository 🤗https://huggingface.co/DreadPoor/Still 
Base Model(s)  Aurora SCE 12B   Irix 12B Model Stock   YM 12B Model Stock   Ayla Light 12B Stock   yamatazen/Aurora-SCE-12B   DreadPoor/Irix-12B-Model_Stock   DreadPoor/YM-12B-Model_Stock   yamatazen/Ayla-Light-12B-Stock
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-09-20
MaintainerDreadPoor
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 ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Still

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Captain Eris Violet V0.420 12B1000K / 24.5 GB200354
...r Nemo 12B Instruct R 21 09 241000K / 24.5 GB2844138
...s PersonalityEngine V1.1.0 12B1000K / 24.5 GB65145
Captain Eris BMO Violent 12B1000K / 24.5 GB3052
Dans SakuraKaze V1.0.0 12B1000K / 24.5 GB4519
Impish Nemo 12B1000K / 24.5 GB207870
...n Eris BMO Violent GRPO V0.4201000K / 24.5 GB923
DoublePotato Mistral Nemo 13B1000K / 26.8 GB21
Mistral Nemo Kartoffel 12B1000K / 24.5 GB46
Note: green Score (e.g. "73.2") means that the model is better than DreadPoor/Still.

Rank the Still Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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