NeuralHermes Mistral 13B DARE Blended FAILURE by athirdpath

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

NeuralHermes Mistral 13B DARE Blended FAILURE Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralHermes Mistral 13B DARE Blended FAILURE (athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE)

NeuralHermes Mistral 13B DARE Blended FAILURE Parameters and Internals

Model Type 
text generation
Additional Notes 
There seems to be an issue with the recipe's balance when applying to 13b Mistral models.
Input Output 
Performance Tips:
Inverting and merging techniques work well for certain models, but may require adjustments or further study for others, such as the 13b Mistrals.
LLM NameNeuralHermes Mistral 13B DARE Blended FAILURE
Repository ๐Ÿค—https://huggingface.co/athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE 
Model Size13b
Required VRAM26.7 GB
Updated2024-12-22
Maintainerathirdpath
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.9 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE.

Rank the NeuralHermes Mistral 13B DARE Blended FAILURE 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217