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Leyes Ecuador 20250825 200051 by devparagiri

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  Autotrain   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational Dataset:devparagiri/dataset-le...   Endpoints compatible   Gguf   Instruct   Llama   Peft   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/devparagiri/Leyes-Ecuador-20250825-200051 

Leyes Ecuador 20250825 200051 Benchmarks

LLME Score: 0.28442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leyes Ecuador 20250825 200051 (devparagiri/Leyes-Ecuador-20250825-200051)
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Leyes Ecuador 20250825 200051 Parameters and Internals

LLM NameLeyes Ecuador 20250825 200051
Repository 🤗https://huggingface.co/devparagiri/Leyes-Ecuador-20250825-200051 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-08-29
Maintainerdevparagiri
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   2.0 GB   0.0 GB
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.48.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than devparagiri/Leyes-Ecuador-20250825-200051.

Rank the Leyes Ecuador 20250825 200051 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 v20241124
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