What are the hardware requirements for Vega SupraNeo 4M Tetris Verbose?

Vega SupraNeo 4M Tetris Verbose requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vega SupraNeo 4M Tetris Verbose and how large is it?

Vega SupraNeo 4M Tetris Verbose is developed by CNWPlayer, a model with 4m 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 Vega SupraNeo 4M Tetris Verbose?

Vega SupraNeo 4M Tetris Verbose is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vega SupraNeo 4M Tetris Verbose by CNWPlayer — 1K context

Name: Vega SupraNeo 4M Tetris Verbose
Author: CNWPlayer

Vega SupraNeo 4M Tetris Verbose is an open-source language model by CNWPlayer. Features: 4m LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:supralabs/... Base model:supralabs/supraneo-... Co2 eq emissions Dataset:huggingfacefw/fineweb-... Dataset:mlfoundations/dclm-bas... En Endpoints compatible Pretrained-from-scratch Qwen3 Region:us Research Safetensors Small Tiny

Model Card on HF 🤗: https://huggingface.co/CNWPlayer/Vega-SupraNeo-4M-Tetris-Verbose

Vega SupraNeo 4M Tetris Verbose Parameters and Internals

LLM Name	Vega SupraNeo 4M Tetris Verbose
Repository 🤗	https://huggingface.co/CNWPlayer/Vega-SupraNeo-4M-Tetris-Verbose
Base Model(s)	SupraNeo 4M SupraLabs/SupraNeo-4M
Model Size	4m
Required VRAM	0 GB
Updated	2026-11-14
Maintainer	CNWPlayer
Model Type	qwen3
Model Files	0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	4096

Rank the Vega SupraNeo 4M Tetris Verbose 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 Vega SupraNeo 4M Tetris Verbose

Best Alternatives	Context / RAM	Downloads	Likes
Oc E Non V1	256K / 8 GB	947	21
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	12	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
SRA RiskGate 4B	256K / 8 GB	2662	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Dwight 4B	256K / 8.1 GB	374	10

Note: green Score (e.g. "73.2") means that the model is better than CNWPlayer/Vega-SupraNeo-4M-Tetris-Verbose.