What are the hardware requirements for Gemma 3 270M It Qat MLX 4bit?

Gemma 3 270M It Qat MLX 4bit 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 Gemma 3 270M It Qat MLX 4bit and how large is it?

Gemma 3 270M It Qat MLX 4bit is developed by lmstudio-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 Gemma 3 270M It Qat MLX 4bit?

Gemma 3 270M It Qat MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 270M It Qat MLX 4bit by lmstudio-community — VRAM 0.2GB, 32K context

Name: Gemma 3 270M It Qat MLX 4bit
Author: lmstudio-community

Gemma 3 270M It Qat MLX 4bit is an open-source language model by lmstudio-community. Features: 270m LLM, VRAM: 0.2GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.22.

4bit Base model:finetune:google/gem... Base model:google/gemma-3-270m... Endpoints compatible Gemma Gemma3 Google Mlx Q4 Q4 0 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/lmstudio-community/gemma-3-270m-it-qat-MLX-4bit

Gemma 3 270M It Qat MLX 4bit Parameters and Internals

LLM Name	Gemma 3 270M It Qat MLX 4bit
Repository 🤗	https://huggingface.co/lmstudio-community/gemma-3-270m-it-qat-MLX-4bit
Base Model(s)	...3 270M It Qat Q4 0 Unquantized google/gemma-3-270m-it-qat-q4_0-unquantized
Model Size	270m
Required VRAM	0.2 GB
Updated	2026-07-13
Maintainer	lmstudio-community
Model Type	gemma3_text
Model Files	0.2 GB
Quantization Type	q4\|q4_0\|4bit
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gemma 3 270M It Qat MLX 4bit 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 Gemma 3 270M It Qat MLX 4bit

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
Functiongemma 270M It 8bit	32K / 0.3 GB	38	1

Note: green Score (e.g. "73.2") means that the model is better than lmstudio-community/gemma-3-270m-it-qat-MLX-4bit.