What are the hardware requirements for HQQ 270M?

HQQ 270M requires approximately 0.5 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 HQQ 270M and how large is it?

HQQ 270M is developed by NukeverseAi, a model with 270m 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 HQQ 270M?

HQQ 270M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HQQ 270M by NukeverseAi — VRAM 0.5GB, 32K context

Name: HQQ 270M
Author: NukeverseAi

HQQ 270M is an open-source language model by NukeverseAi. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: other, LLM Explorer Score: 0.19.

Base model:finetune:google/gem... Base model:google/gemma-3-270m... Conversational Deepresearch En Endpoints compatible Gemma3 Gemma3 text Gpt oss Hqq Hqq-270m Hqq 270m Nukeverseai Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NukeverseAi/HQQ-270M

HQQ 270M Parameters and Internals

LLM Name	HQQ 270M
Repository 🤗	https://huggingface.co/NukeverseAi/HQQ-270M
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Required VRAM	0.5 GB
Updated	2025-12-31
Maintainer	NukeverseAi
Model Type	gemma3_text
Model Files	0.5 GB
Supported Languages	en
Model Architecture	Gemma3ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.2
Tokenizer Class	GemmaTokenizer
Padding Token	<eos>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the HQQ 270M 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 HQQ 270M

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M	32K / 0.5 GB	5434146	1041
Gemma 3 270M It	32K / 0.5 GB	1222057	604
Functiongemma 270M It	32K / 0.5 GB	38635	1044
...act Gemma 3 270M Fine Tuned V1	32K / 0.5 GB	593	1
Parking Gemma 270M V2 Onnx	32K / GB	501	1
Turkish Pii Detection	32K / 0.5 GB	2718	1
Kairos Quality Intent	32K / GB	557	1
...Extract Gemma 3 270M Finetuned	32K / 1.1 GB	358	1
...th Solver Gemma 270M Fine Tune	32K / 1.1 GB	285	1
Kavach PII 270M	32K / 0.5 GB	533	1

Note: green Score (e.g. "73.2") means that the model is better than NukeverseAi/HQQ-270M.