Insanity by Nohobby

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  Merged Model   Autotrain compatible Base model:arliai/mistral-nemo... Base model:v000000/nm-12b-lyri...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Nohobby/Insanity 

Insanity Benchmarks

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

Insanity Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models created using mergekit. It involves multiple models with various parameters including weight, density, and specific merging methods like della_linear and dare_ties.
LLM NameInsanity
Repository ๐Ÿค—https://huggingface.co/Nohobby/Insanity 
Base Model(s)  NM 12B Lyris Dev 3   ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1   v000000/NM-12B-Lyris-dev-3   ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2024-12-22
MaintainerNohobby
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 Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Insanity

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Context / RAM
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...r Nemo 12B Instruct R 21 09 241000K / 24.5 GB2072096
SauerkrautLM Nemo 12B Instruct1000K / 24.5 GB10680822
...s PersonalityEngine V1.1.0 12B1000K / 24.5 GB463
MISCHIEVOUS 12B Mix 0.4v1000K / 24.5 GB1861
Dolphin 2.9.3 Mistral Nemo 12B1000K / 24.5 GB912687
VICIOUS MESH 12B BETA1000K / 24.5 GB251
VICIOUS MESH 12B GAMMA1000K / 24.5 GB241
MISCHIEVOUS 12B1000K / 24.5 GB2272
MISCHIEVOUS 12B Mix III Ex V1000K / 24.5 GB1740
VICIOUS MESH 12B ALPHA1000K / 24.5 GB571
Note: green Score (e.g. "73.2") means that the model is better than Nohobby/Insanity.

Rank the Insanity Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217