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Fireball 3.1 8B ORPO by EpistemeAI

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Fireball 3.1 8B ORPO Benchmarks

LLME Score: 0.22589
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fireball 3.1 8B ORPO Parameters and Internals

LLM NameFireball 3.1 8B ORPO
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-3.1-8B-ORPO 
Model CreatorEpistemeAI
Base Model(s)  unsloth/Meta-Llama-3.1-8B-bnb-4bit   unsloth/Meta-Llama-3.1-8B-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
MaintainerEpistemeAI
Model Files  0.2 GB   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 ArchitectureAdapter
Licensellama3.1
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|up_proj|gate_proj|o_proj|q_proj|down_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Fireball 3.1 8B ORPO (EpistemeAI/Fireball-3.1-8B-ORPO)

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Context / RAM
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Likes
... 3 8B Instruct Bvr Finetune V38K / 16.1 GB50
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FineLlama3.1 8B Instruct Lora0K / 0.2 GB01
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Llama 3 8B Instruct 80K QLoRA0K / 2.2 GB024
Llama 3 8B Claudstruct V10K / 0.1 GB60
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-3.1-8B-ORPO.

Rank the Fireball 3.1 8B ORPO 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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Release v20241110
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