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Fireball Alpaca Llama 3.1 8B Instruct KTO Beta by EpistemeAI2

 »  All LLMs  »  EpistemeAI2  »  Fireball Alpaca Llama 3.1 8B Instruct KTO Beta   URL Share it on

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  Arxiv:2204.05149   4bit   Autotrain compatible   Conversational Dataset:argilla/distilabel-int...   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI2/Fireball-Alpaca-Llama-3.1-8B-Instruct-KTO-beta 

Fireball Alpaca Llama 3.1 8B Instruct KTO Beta Benchmarks

LLME Score: 0.21619
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fireball Alpaca Llama 3.1 8B Instruct KTO Beta (EpistemeAI2/Fireball-Alpaca-Llama-3.1-8B-Instruct-KTO-beta)

Fireball Alpaca Llama 3.1 8B Instruct KTO Beta Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial applications, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
chat, multilingual dialogue, text generation
Limitations:
use violating laws, use in unsupported languages
Additional Notes 
Static model optimized for scalability with GQA and leveraging power-efficient GPU clusters for training.
Supported Languages 
English (full), German (full), French (full), Italian (full), Portuguese (full), Hindi (full), Spanish (full), Thai (full)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
fine-tuning with instruction tuning, RLHF
Context Length:
128000
Hardware Used:
H100-80GB GPUs
Model Architecture:
auto-regressive transformer
Input Output 
Input Format:
Multilingual Text
Accepted Modalities:
text, code
Output Format:
Multilingual Text and code
Release Notes 
Version:
Llama 3.1
Date:
July 23, 2024
Notes:
Initial release of the static model collection.
LLM NameFireball Alpaca Llama 3.1 8B Instruct KTO Beta
Repository 🤗https://huggingface.co/EpistemeAI2/Fireball-Alpaca-Llama-3.1-8B-Instruct-KTO-beta 
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
Updated2024-12-11
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
Gated ModelYes
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Fireball Alpaca Llama 3.1 8B Instruct KTO Beta 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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