What are the hardware requirements for Pjev 2B?

Pjev 2B requires approximately 5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pjev 2B and how large is it?

Pjev 2B is developed by Kailune-AI, 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 Pjev 2B?

Pjev 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pjev 2B by Kailune-AI — VRAM 5GB, 128K context

Name: Pjev 2B
Author: Kailune-AI

Pjev 2B is an open-source language model by Kailune-AI. Features: 2b LLM, VRAM: 5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:openbmb/mi... Base model:openbmb/minicpm5-2b Conversational Dataset:caiovicentino1/eikos-d... Decision-model En Endpoints compatible Jev Jevbench Llama Region:us Safetensors Sharded System-one Tensorflow Typed-decisions

Model Card on HF 🤗: https://huggingface.co/Kailune-AI/pjev-2b

Pjev 2B Parameters and Internals

LLM Name	Pjev 2B
Repository 🤗	https://huggingface.co/Kailune-AI/pjev-2b
Base Model(s)	MiniCPM5 2B openbmb/MiniCPM5-2B
Model Size	2b
Required VRAM	5 GB
Updated	2026-10-01
Maintainer	Kailune-AI
Model Type	llama
Model Files	4.0 GB: 1-of-2 1.0 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	130560

Rank the Pjev 2B 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 Pjev 2B

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM5 2B Base	512K / 5 GB	54	17
MiniCPM5 2B	128K / 5 GB	2879	623
Xor Lite	128K / 5 GB	484	3
Huihui MiniCPM5 2B Abliterated	128K / 5 GB	1227	14
Sharp MiniCPM5 2B MLX OQ6e	128K / 2.1 GB	240	2
...iniCPM5 2B RotSVDMix Quantized	128K / 2 GB	1389	1
MiniCPM5 2B MLX	128K / 1.4 GB	288	24
BananaMind CodeQ 1.3 2B	128K / 5.1 GB	663	3
Abliterated Minicpm5 2B V3	128K / 5 GB	554	0
...iniCPM5 2B SFT Pashto Instruct	128K / 5 GB	1076	0

Note: green Score (e.g. "73.2") means that the model is better than Kailune-AI/pjev-2b.