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Apollo 2.0 Llama 3.1 8B by Locutusque

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  Autotrain compatible   Conversational Dataset:locutusque/apollorp-2....   En   Endpoints compatible   Instruct   Llama   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow

Apollo 2.0 Llama 3.1 8B Benchmarks

LLME Score: 0.26354
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 Parameters and Internals

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
Updated2024-10-11
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
Apollo 2.0 Llama 3.1 8B (Locutusque/Apollo-2.0-Llama-3.1-8B)

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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

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Instruction Following and Task Automation  
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Release v2024072803
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