What are the hardware requirements for Functiongemma 270M It 8bit?

Functiongemma 270M It 8bit requires approximately 0.3 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 Functiongemma 270M It 8bit and how large is it?

Functiongemma 270M It 8bit is developed by mlx-community, 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 Functiongemma 270M It 8bit?

Functiongemma 270M It 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Functiongemma 270M It 8bit by mlx-community — VRAM 0.3GB, 32K context

Name: Functiongemma 270M It 8bit
Author: mlx-community

Functiongemma 270M It 8bit is an open-source language model by mlx-community. Features: 270m LLM, VRAM: 0.3GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.22.

8-bit 8bit Base model:google/functiongemm... Base model:quantized:google/fu... Conversational Functiongemma Gemma Gemma3 Gemma3 text Google Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/functiongemma-270m-it-8bit

Functiongemma 270M It 8bit Parameters and Internals

LLM Name	Functiongemma 270M It 8bit
Repository 🤗	https://huggingface.co/mlx-community/functiongemma-270m-it-8bit
Base Model(s)	Functiongemma 270M It google/functiongemma-270m-it
Model Size	270m
Required VRAM	0.3 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	gemma3_text
Model Files	0.3 GB
Quantization Type	8bit
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Functiongemma 270M It 8bit 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 Functiongemma 270M It 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...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
Gemma 3 270M It Qat MLX 4bit	32K / 0.2 GB	1867	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/functiongemma-270m-it-8bit.