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Apollo 2.0 Llama 3.1 8B by Locutusque

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Apollo 2.0 Llama 3.1 8B is an open-source language model by Locutusque. Features: 8b LLM, VRAM: 16GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.15.

  Autotrain compatible   Conversational Dataset:locutusque/apollorp-2....   En   Endpoints compatible   Instruct   Llama   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Locutusque/Apollo-2.0-Llama-3.1-8B 

Apollo 2.0 Llama 3.1 8B Benchmarks

LLME Score: 0.1519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Apollo 2.0 Llama 3.1 8B (Locutusque/Apollo-2.0-Llama-3.1-8B)
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Apollo 2.0 Llama 3.1 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
RP, ERP, instruction following, conversation
Limitations:
not-for-all-audiences
Considerations:
Users should be made aware of the risks, biases, and limitations of the model.
Additional Notes 
The model is designed to be used for roleplaying and conversational purposes, but it is uncensored and may generate inappropriate content. It's advised to be cautious while using it.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Locutusque/ApolloRP-2.0-SFT
Methodology:
Fine-tuning. Trained with bf16 non-mixed precision.
Responsible Ai Considerations 
Mitigation Strategies:
Use at your own risk due to the model's uncensored nature.
LLM NameApollo 2.0 Llama 3.1 8B
Repository 🤗https://huggingface.co/Locutusque/Apollo-2.0-Llama-3.1-8B 
Model Size8b
Required VRAM16 GB
Updated2025-10-05
MaintainerLocutusque
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB: 1-of-6   2.9 GB: 2-of-6   3.0 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   1.3 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Locutusque/Apollo-2.0-Llama-3.1-8B.

Rank the Apollo 2.0 Llama 3.1 8B 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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