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Articulate 11 Expspanish Base Merged by johnpaulbin

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Articulate 11 Expspanish Base Merged is an open-source language model by johnpaulbin. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

  4bit   Autotrain compatible   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/johnpaulbin/articulate-11-expspanish-base-merged 

Articulate 11 Expspanish Base Merged Benchmarks

LLME Score: 0.16777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Articulate 11 Expspanish Base Merged (johnpaulbin/articulate-11-expspanish-base-merged)
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Articulate 11 Expspanish Base Merged Parameters and Internals

LLM NameArticulate 11 Expspanish Base Merged
Repository 🤗https://huggingface.co/johnpaulbin/articulate-11-expspanish-base-merged 
Base Model(s)  unsloth/llama-3.2-3b-unsloth-bnb-4bit   unsloth/llama-3.2-3b-unsloth-bnb-4bit
Model Size3b
Required VRAM7.2 GB
Updated2025-09-17
Maintainerjohnpaulbin
Model Typellama
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128371
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than johnpaulbin/articulate-11-expspanish-base-merged.

Rank the Articulate 11 Expspanish Base Merged 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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