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Hathor RP V.01 L3 8B by ChaoticNeutrals

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  Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B 

Hathor RP V.01 L3 8B Benchmarks

LLME Score: 0.17998
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Hathor RP V.01 L3 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
creative writing, educational support, human/computer interaction
Additional Notes 
Hathor is trained on 3 epochs of private rp data, synthetic opus instructions, a mix of light/classical novel data. (Heavily wip)
Supported Languages 
en (primary)
Training Details 
Data Sources:
private rp data, synthetic opus instructions, light/classical novel data
Methodology:
3 epochs
LLM NameHathor RP V.01 L3 8B
Repository 🤗https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-27
MaintainerChaoticNeutrals
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Hathor RP V.01 L3 8B (ChaoticNeutrals/Hathor_RP-v.01-L3-8B)

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Hathor_RP-v.01-L3-8B.

Rank the Hathor RP V.01 L3 8B 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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Release v20241124
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