What are the hardware requirements for PPCM?

PPCM requires approximately 2.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PPCM and how large is it?

PPCM is developed by Xinmu7, a model with 8b 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 PPCM?

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

PPCM by Xinmu7 — VRAM 2.1GB, 40K context

Name: PPCM
Author: Xinmu7

PPCM is an open-source language model by Xinmu7. Features: 8b LLM, VRAM: 2.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.34.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Custom code Draft-model Endpoints compatible Feature-extraction Qwen3 Region:us Safetensors Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/Xinmu7/PPCM

PPCM Parameters and Internals

LLM Name	PPCM
Repository 🤗	https://huggingface.co/Xinmu7/PPCM
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	2.1 GB
Updated	2026-09-04
Maintainer	Xinmu7
Model Type	qwen3
Model Files	2.1 GB
Model Architecture	PPCMDraftModel
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.1
Vocabulary Size	151936

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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