What are the hardware requirements for Pip Api Expert?

Pip Api Expert requires approximately 5.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pip Api Expert and how large is it?

Pip Api Expert is developed by PipableAI, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Pip Api Expert?

Pip Api Expert is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pip Api Expert by PipableAI — VRAM 5.4GB, 16K context

Name: Pip Api Expert
Author: PipableAI

Pip Api Expert 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: 0.12.

Model Card on HF 🤗: https://huggingface.co/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 Name	Pip Api Expert
Repository 🤗	https://huggingface.co/PipableAI/pip-api-expert
Model Size	1.3b
Required VRAM	5.4 GB
Updated	2026-07-24
Maintainer	PipableAI
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 0.4 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	float32

Rank the Pip Api Expert capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Pip Api Expert

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
Speechless Coder Ds 1.3B	16K / 2.7 GB	180	0
...c Deepseek Coder 1.3B Instruct	16K / 5.4 GB	5	0
Hpc Coder V2.1.3B	16K / 2.7 GB	15	5
Pip Code Bandit	16K / 2.7 GB	27	13
... 1.3B Instruct Trt Int4 G64 Hf	16K / 0.9 GB	7	0
Pip Library Etl 1.3B	16K / 5.4 GB	31	44
Pip Sql 1.3B	16K / 5.4 GB	91	90
...t Structured Output Peft Merge	16K / 2.7 GB	12	0
Datascience Coder 1.3B	16K / 2.7 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than PipableAI/pip-api-expert.