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Llama3 Credpol by pablomo83

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  4bit   8-bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Gguf   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/pablomo83/Llama3_credpol 

Llama3 Credpol Benchmarks

LLME Score: 0.20591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Credpol (pablomo83/Llama3_credpol)

Llama3 Credpol Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama3 Credpol
Repository 🤗https://huggingface.co/pablomo83/Llama3_credpol 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM21.9 GB
Updated2024-12-22
Maintainerpablomo83
Model Files  4.9 GB   8.5 GB   0.2 GB   4.7 GB: 1-of-2   5.0 GB: 1-of-4   1.1 GB: 2-of-2   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|k_proj|gate_proj|up_proj|down_proj|q_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 pablomo83/Llama3_credpol.

Rank the Llama3 Credpol 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
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