What are the hardware requirements for Supralabs?

Supralabs requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supralabs and how large is it?

Supralabs is developed by Hanuman2, a model with 494m 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 Supralabs?

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

Supralabs by Hanuman2 — VRAM 1GB, 32K context

Name: Supralabs
Author: Hanuman2

Supralabs is an open-source language model by Hanuman2. Features: 494m LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25.

Conversational En Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Hanuman2/Supralabs

Supralabs Parameters and Internals

LLM Name	Supralabs
Repository 🤗	https://huggingface.co/Hanuman2/Supralabs
Model Size	494m
Required VRAM	1 GB
Updated	2026-06-21
Maintainer	Hanuman2
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	SupraLabsTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Supralabs 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 Supralabs

Best Alternatives	Context / RAM	Downloads
Qwen2 Sft Warmup	128K / 0 GB	6
Qwen2 0.5Bchp 690K	128K / 2 GB	5
Qwen2 0.5Bchp 570K	128K / 2 GB	13
Qwen2 0.5Bchp 15K	128K / 2 GB	10
Qwen2 0.5Bchp 300000	128K / 2 GB	8
Qwen2 0.5Bchp 20000	128K / 2 GB	12
Svig Tiny Step 3.7K	128K / 2 GB	16
...en2 Emotions Without Reasoning	128K / 2 GB	11
Tinyqwen	128K / 1 GB	9
Luwa 01	32K / 2 GB	542

Note: green Score (e.g. "73.2") means that the model is better than Hanuman2/Supralabs.