What are the hardware requirements for Parking Gemma 270M V2 Onnx?

Parking Gemma 270M V2 Onnx requires a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Parking Gemma 270M V2 Onnx and how large is it?

Parking Gemma 270M V2 Onnx is developed by kimrahui, 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 Parking Gemma 270M V2 Onnx?

Parking Gemma 270M V2 Onnx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Parking Gemma 270M V2 Onnx by kimrahui — 32K context

Name: Parking Gemma 270M V2 Onnx
Author: kimrahui

Parking Gemma 270M V2 Onnx is an open-source language model by kimrahui. Features: 270m LLM, Context: 32K, License: gemma, LLM Explorer Score: 0.33.

Base model:google/gemma-3-270m... Base model:quantized:google/ge... Conversational Gemma3 text Onnx Region:us Transformers.js

Model Card on HF 🤗: https://huggingface.co/kimrahui/parking-gemma-270m-v2-onnx

Parking Gemma 270M V2 Onnx Parameters and Internals

LLM Name	Parking Gemma 270M V2 Onnx
Repository 🤗	https://huggingface.co/kimrahui/parking-gemma-270m-v2-onnx
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Updated	2026-10-30
Maintainer	kimrahui
Model Type	gemma3_text
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Parking Gemma 270M V2 Onnx 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 Parking Gemma 270M V2 Onnx

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
...act Gemma 3 270M Fine Tuned V1	32K / 0.5 GB	593	1
Functiongemma 270M It	32K / 0.5 GB	38635	1044
Turkish Pii Detection	32K / 0.5 GB	2718	1
Kairos Quality Intent	32K / GB	435	1
...th Solver Gemma 270M Fine Tune	32K / 1.1 GB	285	1
...Extract Gemma 3 270M Finetuned	32K / 1.1 GB	358	1
Kavach PII 270M	32K / 0.5 GB	533	1
Gemma 3 270M	32K / 0.5 GB	234	0

Note: green Score (e.g. "73.2") means that the model is better than kimrahui/parking-gemma-270m-v2-onnx.