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Pip Api Expert by PipableAI

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Model Card on HF 🤗: https://huggingface.co/PipableAI/pip-api-expert 

Pip Api Expert Benchmarks

LLME Score: 0.18844
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pip Api Expert (PipableAI/pip-api-expert)

Pip Api Expert Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
API calling, documentation, testing management
Applications:
text to OpenAPI conversion, text to Markdown conversion, API calls generation in Python
Primary Use Cases:
Convert malformed text to OpenAPI format, Convert malformed text to Markdown, Generate API calls from documents and natural language questions
Supported Languages 
en (Advanced)
Training Details 
Methodology:
Used a simulator and a form of policy gradient to train the model to self instruct.
Input Output 
Input Format:
Prompt-based input for specific tasks
Accepted Modalities:
text
Output Format:
Generated text for API calls and documentation
LLM NamePip Api Expert
Repository 🤗https://huggingface.co/PipableAI/pip-api-expert 
Model Size1.3b
Required VRAM5.4 GB
Updated2025-02-22
MaintainerPipableAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.4 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.41.2
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-api-expert.

Rank the Pip Api Expert Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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