What are the hardware requirements for Zer0 Gemma Rust Finetuned?

Zer0 Gemma Rust Finetuned requires approximately 0.5 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 Zer0 Gemma Rust Finetuned and how large is it?

Zer0 Gemma Rust Finetuned is developed by aam-nullandco, a model with 268.1m 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 Zer0 Gemma Rust Finetuned?

Zer0 Gemma Rust Finetuned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zer0 Gemma Rust Finetuned by aam-nullandco — VRAM 0.5GB, 32K context

Name: Zer0 Gemma Rust Finetuned
Author: aam-nullandco

Zer0 Gemma Rust Finetuned is an open-source language model by aam-nullandco. Features: 268.1m LLM, VRAM: 0.5GB, Context: 32K, License: gemma, Quantized, Fine-Tuned, LLM Explorer Score: 0.25.

Base model:aam-nullandco/zer0-... Base model:quantized:aam-nulla... Conversational Endpoints compatible Finetuned Gemma3 text Generated from trainer Gguf Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/aam-nullandco/zer0-gemma-rust-finetuned

Zer0 Gemma Rust Finetuned Parameters and Internals

LLM Name	Zer0 Gemma Rust Finetuned
Repository 🤗	https://huggingface.co/aam-nullandco/zer0-gemma-rust-finetuned
Base Model(s)	Zer0 Gemma Rust Finetuned aam-nullandco/zer0-gemma-rust-finetuned
Model Size	268.1m
Required VRAM	0.5 GB
Updated	2026-04-15
Maintainer	aam-nullandco
Model Type	gemma3_text
Model Files	0.5 GB 0.0 GB 0.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Zer0 Gemma Rust Finetuned 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

Quantized Models of the Zer0 Gemma Rust Finetuned

Model	Likes	Downloads	VRAM
Zer0 Gemma Rust Finetuned	0	264	0 GB

Best Alternatives to Zer0 Gemma Rust Finetuned

Best Alternatives	Context / RAM	Downloads
ImagineGPT	32K / 0.5 GB	7
Episodic Nothink3b	32K / 0.5 GB	10
MyGemmaNPC	32K / 0.5 GB	15
Nacup	32K / 0.5 GB	9

Note: green Score (e.g. "73.2") means that the model is better than aam-nullandco/zer0-gemma-rust-finetuned.