What are the hardware requirements for Fine Tuning Test?

Fine Tuning Test requires approximately 1.1 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 Fine Tuning Test and how large is it?

Fine Tuning Test is developed by pizza0106, 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 Fine Tuning Test?

Fine Tuning Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fine Tuning Test by pizza0106 — VRAM 1.1GB, 32K context

Name: Fine Tuning Test
Author: pizza0106

Fine Tuning Test is an open-source language model by pizza0106. Features: 270m LLM, VRAM: 1.1GB, Context: 32K, LLM Explorer Score: 0.32.

Base model:finetune:google/fun... Base model:google/functiongemm... Conversational Endpoints compatible Gemma3 text Generated from trainer Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/pizza0106/fine_tuning_test

Fine Tuning Test Parameters and Internals

LLM Name	Fine Tuning Test
Repository 🤗	https://huggingface.co/pizza0106/fine_tuning_test
Model Name	fine_tuning_test
Base Model(s)	Functiongemma 270M It google/functiongemma-270m-it
Model Size	270m
Required VRAM	1.1 GB
Updated	2026-11-11
Maintainer	pizza0106
Model Type	gemma3_text
Model Files	1.1 GB 0.0 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.22.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Fine Tuning Test 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 Fine Tuning Test

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M	32K / 0.5 GB	5434146	1041
Gemma 3 270M It	32K / 0.5 GB	1222057	604
Functiongemma 270M It	32K / 0.5 GB	38635	1044
Wordle Rl Gemma3 270M	32K / 1.1 GB	188	1
...act Gemma 3 270M Fine Tuned V1	32K / 0.5 GB	593	1
Parking Gemma 270M V2 Onnx	32K / GB	501	1
Turkish Pii Detection	32K / 0.5 GB	2718	1
Kairos Quality Intent	32K / GB	654	1
...Extract Gemma 3 270M Finetuned	32K / 1.1 GB	358	1
...th Solver Gemma 270M Fine Tune	32K / 1.1 GB	285	1

Note: green Score (e.g. "73.2") means that the model is better than pizza0106/fine_tuning_test.