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Hathor Unstable L3 8B V0.3 by Nitral-Archive

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Hathor Unstable L3 8B V0.3 is an open-source language model by Nitral-Archive. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, LLM Explorer Score: 0.14.

  Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-Archive/Hathor_Unstable-L3-8B-v0.3 

Hathor Unstable L3 8B V0.3 Benchmarks

LLME Score: 0.14085
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hathor Unstable L3 8B V0.3 (Nitral-Archive/Hathor_Unstable-L3-8B-v0.3)
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Hathor Unstable L3 8B V0.3 Parameters and Internals

Model Type 
creative writing, educational support, human/computer interaction
Use Cases 
Primary Use Cases:
creative writing, educational support, human/computer interaction
Additional Notes 
Hathor is trained on 3 epochs of private data, synthetic opus instructions, a mix of light/classical novel data, roleplaying chat pairs over LLaMA 3 8B instruct. (update- More Private RP data)
Supported Languages 
en (English)
Training Details 
Data Sources:
private data, synthetic opus instructions, light/classical novel data, roleplaying chat pairs
Model Architecture:
LLaMA 3 architecture
LLM NameHathor Unstable L3 8B V0.3
Repository 🤗https://huggingface.co/Nitral-Archive/Hathor_Unstable-L3-8B-v0.3 
Model Size8b
Required VRAM16.1 GB
Updated2026-03-26
MaintainerNitral-Archive
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
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 Nitral-Archive/Hathor_Unstable-L3-8B-v0.3.

Rank the Hathor Unstable L3 8B V0.3 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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