What are the hardware requirements for Mininpc 1?

Mininpc 1 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mininpc 1 and how large is it?

Mininpc 1 is developed by prathamkode, a model with 2b 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 Mininpc 1?

Mininpc 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mininpc 1 by prathamkode — VRAM 0.1GB

Name: Mininpc 1
Author: prathamkode

Mininpc 1 is an open-source language model by prathamkode. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.29.

Adapter Base model:adapter:openbmb/min... Base model:openbmb/minicpm5-2b... En Finetuned Lora Minicpm Model-index Npc Peft Region:us Roleplay Safetensors

Model Card on HF 🤗: https://huggingface.co/prathamkode/mininpc-1

Mininpc 1 Parameters and Internals

LLM Name	Mininpc 1
Repository 🤗	https://huggingface.co/prathamkode/mininpc-1
Base Model(s)	MiniCPM5 2B SFT openbmb/MiniCPM5-2B-SFT
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-09-18
Maintainer	prathamkode
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|gate_proj\|up_proj\|v_proj\|down_proj\|k_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Mininpc 1 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

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