What are the hardware requirements for Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256?

Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256?

Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 by RefalMachine — VRAM 0.7GB

Name: Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256
Author: RefalMachine

Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 is an open-source language model by RefalMachine. Features: 3b LLM, VRAM: 0.7GB, LLM Explorer Score: 0.15.

Adapter Base model:adapter:refalmachin... Base model:refalmachine/ruadap... Finetuned Generated from trainer Lora Peft Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256

Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 Parameters and Internals

LLM Name	Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256
Repository 🤗	https://huggingface.co/RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256
Base Model(s)	RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init
Model Size	3b
Required VRAM	0.7 GB
Updated	2025-10-11
Maintainer	RefalMachine
Model Files	0.7 GB 0.0 GB
Model Architecture	Adapter
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|down_proj\|v_proj\|o_proj\|up_proj\|k_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	32
Errors	replace

Rank the Ruadapt Qwen2.5 3B Ext U48 Full Lr5e4 Peft Mlp 32 32 Bs256 capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256.