What are the hardware requirements for Flex Model LoRA?

Flex Model LoRA requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Flex Model LoRA and how large is it?

Flex Model LoRA is developed by FroxStudio, a model with 1.5b 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 Flex Model LoRA?

Flex Model LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flex Model LoRA by FroxStudio — VRAM 0.1GB

Name: Flex Model LoRA
Author: FroxStudio

Flex Model LoRA is an open-source language model by FroxStudio. Features: 1.5b LLM, VRAM: 0.1GB, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:1910.09700 Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Instruct Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/FroxStudio/Flex-Model-LoRA

Flex Model LoRA Parameters and Internals

LLM Name	Flex Model LoRA
Repository 🤗	https://huggingface.co/FroxStudio/Flex-Model-LoRA
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-09-18
Maintainer	FroxStudio
Instruction-Based	Yes
Model Files	0.1 GB 0.0 GB
Model Architecture	AutoModel
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|up_proj\|o_proj\|q_proj\|k_proj\|down_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Flex Model LoRA 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

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