What are the hardware requirements for P2 V2?

P2 V2 requires approximately 8.1 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 P2 V2 and how large is it?

P2 V2 is developed by abcorrea, a model with 4b 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 P2 V2?

P2 V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

P2 V2 by abcorrea — VRAM 8.1GB, 40K context

Name: P2 V2
Author: abcorrea

P2 V2 is an open-source language model by abcorrea. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.19.

Base model:abcorrea/p2-v1 Base model:finetune:abcorrea/p... Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/abcorrea/p2-v2

P2 V2 Parameters and Internals

LLM Name	P2 V2
Repository 🤗	https://huggingface.co/abcorrea/p2-v2
Model Name	p2-v2
Base Model(s)	P2 V1 abcorrea/p2-v1
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-06-30
Maintainer	abcorrea
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151680
Torch Data Type	bfloat16
Errors	replace

Rank the P2 V2 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 P2 V2

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	5	0
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than abcorrea/p2-v2.