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Llama3 8B CPP by wttw

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Bitsandbytes Dataset:wttw/code contest inst...   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/wttw/Llama3-8B-CPP 

Llama3 8B CPP Benchmarks

LLME Score: 0.1492
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B CPP (wttw/Llama3-8B-CPP)
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Llama3 8B CPP Parameters and Internals

Model Type 
text-generation
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Fine-tuning using Unsloth and Huggingface's TRL library
Training Time:
2x faster training
LLM NameLlama3 8B CPP
Repository 🤗https://huggingface.co/wttw/Llama3-8B-CPP 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2025-09-23
Maintainerwttw
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|k_proj|down_proj|q_proj|o_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than wttw/Llama3-8B-CPP.

Rank the Llama3 8B CPP 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 v20241124
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