VeriUS LLM 8B V0.2 by VeriUs

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

VeriUS LLM 8B V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VeriUS LLM 8B V0.2 (VeriUs/VeriUS-LLM-8b-v0.2)

VeriUS LLM 8B V0.2 Parameters and Internals

Model Type 
instruct-following, autoregressive
Additional Notes 
This model is trained using Unsloth, and can be loaded with AutoModelForCausalLM.
Supported Languages 
Turkish (fine-tuned), English (base)
Training Details 
Data Sources:
general domain Turkish instruction dataset
Methodology:
Fine-tuned using QLoRA and ORPO
Context Length:
1024
Input Output 
Accepted Modalities:
text
Performance Tips:
Uses Unsloth for fast inference.
LLM NameVeriUS LLM 8B V0.2
Repository ๐Ÿค—https://huggingface.co/VeriUs/VeriUS-LLM-8b-v0.2 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-12-26
MaintainerVeriUs
Model Typellama
Model Files  4.0 GB: 1-of-5   3.9 GB: 2-of-5   3.9 GB: 3-of-5   3.2 GB: 4-of-5   1.1 GB: 5-of-5
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the VeriUS LLM 8B V0.2 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 v20241217