What are the hardware requirements for Gemma 4 E4B It Qat Assistant Bf16?

Gemma 4 E4B It Qat Assistant Bf16 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It Qat Assistant Bf16 and how large is it?

Gemma 4 E4B It Qat Assistant Bf16 is developed by mlx-community, a model with 78.8m 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 4 E4B It Qat Assistant Bf16?

Gemma 4 E4B It Qat Assistant Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B It Qat Assistant Bf16 by mlx-community — VRAM 0.2GB

Name: Gemma 4 E4B It Qat Assistant Bf16
Author: mlx-community

Gemma 4 E4B It Qat Assistant Bf16 is an open-source language model by mlx-community. Features: 78.8m LLM, VRAM: 0.2GB, License: gemma, Quantized, LLM Explorer Score: 0.26.

Base model:finetune:google/gem... Base model:google/gemma-4-e4b-... Bf16 Conversational Draft-model En Gemma Gemma-4 Gemma-4-e4b Gemma4 assistant Mlx Mlx-vlm Mtp Q4 Q4 0 Quantized Region:us Safetensors Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-E4B-it-qat-assistant-bf16

Gemma 4 E4B It Qat Assistant Bf16 Parameters and Internals

LLM Name	Gemma 4 E4B It Qat Assistant Bf16
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-E4B-it-qat-assistant-bf16
Base Model(s)	...Qat Q4 0 Unquantized Assistant google/gemma-4-E4B-it-qat-q4_0-unquantized-assistant
Model Size	78.8m
Required VRAM	0.2 GB
Updated	2026-07-26
Maintainer	mlx-community
Model Type	gemma4_assistant
Model Files	0.2 GB
Supported Languages	en
Quantization Type	q4\|q4_0
Model Architecture	Gemma4AssistantForCausalLM
License	gemma
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It Qat Assistant Bf16 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 4 E4B It Qat Assistant Bf16

Best Alternatives	Context / RAM	Downloads	Likes
...Qat Q4 0 Unquantized Assistant	0K / 0.2 GB	2145	12
Gemma 4 E4B It Assistant	0K / 0.2 GB	64625	118
Gemma 4 E4B It Assistant Bf16	0K / 0.2 GB	1994	11
Quatfit Mini MTP	0K / 0.3 GB	512	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-E4B-it-qat-assistant-bf16.