What are the hardware requirements for Cpt Round5?

Cpt Round5 requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cpt Round5 and how large is it?

Cpt Round5 is developed by Puujeeeeeeeeeeee, 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 Cpt Round5?

Cpt Round5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cpt Round5 by Puujeeeeeeeeeeee — VRAM 16GB

Name: Cpt Round5
Author: Puujeeeeeeeeeeee

Cpt Round5 is an open-source language model by Puujeeeeeeeeeeee. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:finetune:puujeeeeee... Base model:puujeeeeeeeeeeee/cp... En Endpoints compatible Gemma4 Image-text-to-text Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Puujeeeeeeeeeeee/cpt-round5

Cpt Round5 Parameters and Internals

LLM Name	Cpt Round5
Repository 🤗	https://huggingface.co/Puujeeeeeeeeeeee/cpt-round5
Model Name	Puujeeeeeeeeeeee/cpt-round4
Base Model(s)	Cpt Round4 Puujeeeeeeeeeeee/cpt-round4
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-09
Maintainer	Puujeeeeeeeeeeee
Model Type	gemma4
Model Files	16.0 GB
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Cpt Round5 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 Cpt Round5

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It	0K / 16 GB	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4B	0K / 16 GB	268109	386
Vishwamai Stage1	0K / 16 GB	459	0
Gemma4 E4B 8B Heretic Ultra	0K / 16 GB	98	0
Gemma E4B Mt B Split3	0K / 16 GB	98	0
Vishwamai Merged Gemma	0K / 16 GB	34	0
Gemma E4B Mt B Split2	0K / 16 GB	63	0
Gemma 4 E4B It Fable Distill	0K / 16 GB	117	0
Gemma 4 E4b It Bf16	0K / 16 GB	2279	6

Note: green Score (e.g. "73.2") means that the model is better than Puujeeeeeeeeeeee/cpt-round5.