What are the hardware requirements for Phone Llm?

Phone Llm requires a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phone Llm and how large is it?

Phone Llm is developed by pinkelephantlimited. 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 Phone Llm?

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

Phone Llm by pinkelephantlimited — 4K context

Name: Phone Llm
Author: pinkelephantlimited

Phone Llm is an open-source language model by pinkelephantlimited. Features: LLM, Context: 4K, License: mit, LLM Explorer Score: 0.32.

Android Base model:finetune:pinkelepha... Base model:pinkelephantlimited... En Endpoints compatible Gguf Llama.cpp On-device Phone-llm Phone llm Pink-elephant Rag Region:us Sovereign Web-search Zh

Model Card on HF 🤗: https://huggingface.co/pinkelephantlimited/phone-llm

Phone Llm Parameters and Internals

LLM Name	Phone Llm
Repository 🤗	https://huggingface.co/pinkelephantlimited/phone-llm
Base Model(s)	Phone Llm pinkelephantlimited/phone-llm
Updated	2026-08-24
Maintainer	pinkelephantlimited
Model Type	phone_llm
Supported Languages	en zh
Model Architecture	PhoneLLMForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Phone Llm 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