Fireball Alpaca Llama3.1.01 8B Philos by EpistemeAI2

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth

Fireball Alpaca Llama3.1.01 8B Philos Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fireball Alpaca Llama3.1.01 8B Philos Parameters and Internals

LLM NameFireball Alpaca Llama3.1.01 8B Philos
Repository ๐Ÿค—https://huggingface.co/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos 
Base Model(s)  unsloth/meta-llama-3.1-8b-instruct-bnb-4bit   unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-09-08
MaintainerEpistemeAI2
Model Typellama
Instruction-BasedYes
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16
Fireball Alpaca Llama3.1.01 8B Philos (EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos)

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Rank the Fireball Alpaca Llama3.1.01 8B Philos 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803