LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Mergekit Slerp Vvnvctc by mergekit-community

 »  All LLMs  »  mergekit-community  »  Mergekit Slerp Vvnvctc   URL Share it on

  5   
  Merged Model   Autotrain compatible Base model:azazelle/half-nsfw ... Base model:neuralnovel/panda-7...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-slerp-vvnvctc 

Mergekit Slerp Vvnvctc Benchmarks

LLME Score: 0.21211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Vvnvctc (mergekit-community/mergekit-slerp-vvnvctc)

Mergekit Slerp Vvnvctc Parameters and Internals

Model Type 
merge
Additional Notes 
This model is a merge of pre-trained language models using mergekit, specifically with the SLERP merge method.
LLM NameMergekit Slerp Vvnvctc
Repository 🤗https://huggingface.co/mergekit-community/mergekit-slerp-vvnvctc 
Base Model(s)  Half NSFW Noromaid 7B   NeuralNovel/Panda-7B-v0.1   Azazelle/Half-NSFW_Noromaid-7b   NeuralNovel/Panda-7B-v0.1
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-01-28
Maintainermergekit-community
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mergekit Slerp Vvnvctc

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
MegaBeam Mistral 7B 512K512K / 14.4 GB655449
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB647215
Hebrew Mistral 7B 200K256K / 30 GB489915
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-slerp-vvnvctc.

Rank the Mergekit Slerp Vvnvctc 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  

What open-source LLMs or SLMs are you in search of? 42577 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer