What are the hardware requirements for Qwen2.5 1.5B Style Without Erasure Lora?

Qwen2.5 1.5B Style Without Erasure 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 Qwen2.5 1.5B Style Without Erasure Lora and how large is it?

Qwen2.5 1.5B Style Without Erasure Lora is developed by samhitak10, 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 Qwen2.5 1.5B Style Without Erasure Lora?

Qwen2.5 1.5B Style Without Erasure Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B Style Without Erasure Lora by samhitak10 — VRAM 0.1GB

Name: Qwen2.5 1.5B Style Without Erasure Lora
Author: samhitak10

Qwen2.5 1.5B Style Without Erasure Lora is an open-source language model by samhitak10. Features: 1.5b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... En Fairness Finetuned Instruct Interpretability Knowledge-distillation Lora Peft Region:us Research Safetensors Self-distillation

Model Card on HF 🤗: https://huggingface.co/samhitak10/qwen2.5-1.5b-style-without-erasure-lora

Qwen2.5 1.5B Style Without Erasure Lora Parameters and Internals

LLM Name	Qwen2.5 1.5B Style Without Erasure Lora
Repository 🤗	https://huggingface.co/samhitak10/qwen2.5-1.5b-style-without-erasure-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	2026-09-05
Maintainer	samhitak10
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|up_proj\|k_proj\|o_proj\|down_proj\|gate_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Qwen2.5 1.5B Style Without Erasure 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

Best Alternatives to Qwen2.5 1.5B Style Without Erasure Lora

Best Alternatives	Context / RAM	Downloads	Likes
Eleri 1.5B	0K / 0.1 GB	12	1
WavGPT 1.0	0K / 0 GB	5	2
...B Instruct Function Calling V1	0K / 6.2 GB	42	0
...Qwen2 1.5B Instruct 1718824856	0K / 0 GB	5	0