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Pantheon Hermes Rp by ohyeah1

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ohyeah1/Pantheon-Hermes-rp 

Pantheon Hermes Rp Benchmarks

LLME Score: 0.1897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pantheon Hermes Rp (ohyeah1/Pantheon-Hermes-rp)

Pantheon Hermes Rp Parameters and Internals

Model Type 
pre-trained language model, RP model
Training Details 
Methodology:
Model is a merge of pre-trained language models using mergekit.
Input Output 
Input Format:
ChatML
Performance Tips:
Can be very unhinged. Use tested sampling settings: Temperature: 1.4 min p: 0.1.
LLM NamePantheon Hermes Rp
Repository 🤗https://huggingface.co/ohyeah1/Pantheon-Hermes-rp 
Merged ModelYes
Model Size8b
Required VRAM16 GB
Updated2025-02-22
Maintainerohyeah1
Model Typellama
Model Files  1.1 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.9 GB: 8-of-9   1.3 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ohyeah1/Pantheon-Hermes-rp.

Rank the Pantheon Hermes Rp 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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Release v20241227
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