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DareNutz by jeiku

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:jeiku/luna lora mis... Base model:jeiku/synthetic sou... Base model:jeiku/theory of min... Base model:unsloth/mistral-7b-...   Conversational   Endpoints compatible   Instruct   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jeiku/DareNutz 

DareNutz Benchmarks

LLME Score: 0.20975
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DareNutz (jeiku/DareNutz)

DareNutz Parameters and Internals

Model Type 
merge
Additional Notes 
This model is a merge of pre-trained language models created using mergekit.
Training Details 
Methodology:
The model was merged using the DARE TIES merge method using unsloth/mistral-7b-instruct-v0.3 as a base.
LLM NameDareNutz
Repository 🤗https://huggingface.co/jeiku/DareNutz 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3   unsloth/mistral-7b-instruct-v0.3   Theory Of Mind Mistral   unsloth/mistral-7b-instruct-v0.3   Synthetic Soul 1k Mistral 128   unsloth/mistral-7b-instruct-v0.3   jeiku/Luna_LoRA_Mistral   unsloth/mistral-7b-instruct-v0.3   unsloth/mistral-7b-instruct-v0.3   jeiku/Theory_of_Mind_Mistral   unsloth/mistral-7b-instruct-v0.3   jeiku/Synthetic_Soul_1k_Mistral_128   unsloth/mistral-7b-instruct-v0.3   jeiku/Luna_LoRA_Mistral
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-01-29
Maintainerjeiku
Model Typemistral
Instruction-BasedYes
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 Version4.42.4
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/DareNutz.

Rank the DareNutz 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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