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Pip Library Etl 1.3B by PipableAI

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Pip Library Etl 1.3B is an open-source language model by PipableAI. Features: 1.3b LLM, VRAM: 5.4GB, Context: 16K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

  Basemodel   Causallm   Code   Code2doc   Codellama modified archi   Conversational   Cpp   Docstring   Document   Documentation   En   Endpoints compatible   Function calling   Instruct   Instruction tuned   Java   Llama   Python   Pytorch   Region:us   Safetensors   Sharded   Sql   Tensorflow   Unit tests
Model Card on HF 🤗: https://huggingface.co/PipableAI/pip-library-etl-1.3b 

Pip Library Etl 1.3B Benchmarks

LLME Score: 0.12903
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pip Library Etl 1.3B (PipableAI/pip-library-etl-1.3b)
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Pip Library Etl 1.3B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
Function Call Generation, Automated Documentation Generation, Module Documentation, SQL Query Generation
Additional Notes 
Model is hosted at https://playground.pipable.ai/infer for inference without needing a GPU.
Training Details 
Methodology:
We used softmax cross entropy and a modified form of policy grad along with Q loss, optimized in an EM set up.
Model Architecture:
modified archi
LLM NamePip Library Etl 1.3B
Repository 🤗https://huggingface.co/PipableAI/pip-library-etl-1.3b 
Model Size1.3b
Required VRAM5.4 GB
Updated2026-04-21
MaintainerPipableAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.4 GB: 2-of-2   5.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than PipableAI/pip-library-etl-1.3b.

Rank the Pip Library Etl 1.3B 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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