What are the hardware requirements for Home FunctionGemma 270M?

Home FunctionGemma 270M requires approximately 0.2 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 Home FunctionGemma 270M and how large is it?

Home FunctionGemma 270M is developed by acon96, 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 Home FunctionGemma 270M?

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

Home FunctionGemma 270M by acon96 — VRAM 0.2GB, 32K context

Name: Home FunctionGemma 270M
Author: acon96

Home FunctionGemma 270M is an open-source language model by acon96. Features: 270m LLM, VRAM: 0.2GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.23.

Assistant Automation Base model:finetune:google/fun... Base model:google/functiongemm... Conversational Dataset:acon96/home-assistant-... De En Endpoints compatible Es Fr Gemma3 text Gguf Home Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/acon96/Home-FunctionGemma-270m

Home FunctionGemma 270M Parameters and Internals

LLM Name	Home FunctionGemma 270M
Repository 🤗	https://huggingface.co/acon96/Home-FunctionGemma-270m
Base Model(s)	Functiongemma 270M It google/functiongemma-270m-it
Model Size	270m
Required VRAM	0.2 GB
Updated	2026-08-02
Maintainer	acon96
Model Type	gemma3_text
Model Files	0.5 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.3 GB 0.3 GB 0.3 GB 0.0 GB 0.5 GB
Supported Languages	en de es fr
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262146

Rank the Home FunctionGemma 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 Home FunctionGemma 270M

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M Uk Verbalizer	32K / 0.2 GB	780	2
...gemma 270M It Unsloth Bnb 4bit	32K / 0.4 GB	1487	2
...mma 3 270M It Unsloth Bnb 4bit	32K / 0.4 GB	7309	6
Episodic Lora Grpo2 Merged	32K / 0.5 GB	20	0
Episodic Lora Grpo2b Merged	32K / 0.5 GB	18	0
Episodic Lora Merged	32K / 0.5 GB	16	0
Raga Radar V2	32K / 0.9 GB	10	0
Functiongemma 270M It 4bit	32K / 0.2 GB	326	3
Gemma 3 270M It MLX 8bit	32K / 0.5 GB	2167	2
Gemma 3 270M It 8bit	32K / 0.5 GB	2090	2

Note: green Score (e.g. "73.2") means that the model is better than acon96/Home-FunctionGemma-270m.