What are the hardware requirements for Ft Google Gemma 2B It Qlora?

Ft Google Gemma 2B It Qlora requires approximately 4.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ft Google Gemma 2B It Qlora and how large is it?

Ft Google Gemma 2B It Qlora is developed by ALBADDAWI, a model with 2b 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 Ft Google Gemma 2B It Qlora?

Ft Google Gemma 2B It Qlora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ft Google Gemma 2B It Qlora by ALBADDAWI — VRAM 4.3GB

Name: Ft Google Gemma 2B It Qlora
Author: ALBADDAWI

Ft Google Gemma 2B It Qlora is an open-source language model by ALBADDAWI. Features: 2b LLM, VRAM: 4.3GB, License: apache-2.0, LLM Explorer Score: 0.11.

Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Finetuned Generated from trainer Lora Peft Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/ALBADDAWI/ft-google-gemma-2b-it-qlora

Ft Google Gemma 2B It Qlora Parameters and Internals

Additional Notes

This fine-tuned model is trained on an unspecified dataset using specialized hyperparameters and/or setup described in the training procedure.

LLM Name	Ft Google Gemma 2B It Qlora
Repository 🤗	https://huggingface.co/ALBADDAWI/ft-google-gemma-2b-it-qlora
Base Model(s)	Gemma 2B It google/gemma-2b-it
Model Size	2b
Required VRAM	4.3 GB
Updated	2026-08-25
Maintainer	ALBADDAWI
Model Files	4.3 GB 0.0 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|k_proj\|o_proj\|v_proj\|up_proj\|gate_proj\|q_proj
LoRA Alpha	18
LoRA Dropout	0.1
R Param	18

Rank the Ft Google Gemma 2B It Qlora 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 Ft Google Gemma 2B It Qlora

Model	Likes	Downloads	VRAM
Gemma 2B It Q	1	27	1 GB

Best Alternatives to Ft Google Gemma 2B It Qlora

Best Alternatives	Context / RAM	Downloads	Likes
Finetuned Gemma3	8K / 5.1 GB	5	0
Kokolok 2.0 Vision	0K / 0 GB	38	1
Gemma 2 2B It Dolly 15K	0K / 0.1 GB	5	0
Openhermes 2B Gemma Sft Qlora	0K / 0 GB	7	0
Phi Gemma Nlaf V1	0K / 0.1 GB	5	0
Gemma Nlaf V1	0K / 0 GB	8	0
Phi Gemma Nlaf V0	0K / 0.1 GB	5	0
Gemma 2B Nlaf V0	0K / 0 GB	5	0
Gemma 2B It Nlai P1	0K / 0 GB	6	0
Zephyr 2B Gemma Sft Qlora	0K / 0 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than ALBADDAWI/ft-google-gemma-2b-it-qlora.