What are the hardware requirements for Qwen3 14B RLCD Decision LoRA?

Qwen3 14B RLCD Decision LoRA requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 14B RLCD Decision LoRA and how large is it?

Qwen3 14B RLCD Decision LoRA is developed by Foodoo1, a model with 14b 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 Qwen3 14B RLCD Decision LoRA?

Qwen3 14B RLCD Decision LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 14B RLCD Decision LoRA by Foodoo1 — VRAM 0.3GB

Name: Qwen3 14B RLCD Decision LoRA
Author: Foodoo1

Qwen3 14B RLCD Decision LoRA is an open-source language model by Foodoo1. Features: 14b LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.3.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-14b Classification Constrained-decoding Conversational En Es Finetuned Fraud-detection Ja Lora Parallel-decoding Peft Qlora Region:us Safetensors Structured-generation Zh

Model Card on HF 🤗: https://huggingface.co/Foodoo1/Qwen3-14B-RLCD-Decision-LoRA

Qwen3 14B RLCD Decision LoRA Parameters and Internals

LLM Name	Qwen3 14B RLCD Decision LoRA
Repository 🤗	https://huggingface.co/Foodoo1/Qwen3-14B-RLCD-Decision-LoRA
Base Model(s)	Qwen3 14B Qwen/Qwen3-14B
Model Size	14b
Required VRAM	0.3 GB
Updated	2026-09-21
Maintainer	Foodoo1
Model Files	0.3 GB 0.0 GB
Supported Languages	en zh es ja
Model Architecture	Adapter
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|o_proj\|down_proj\|v_proj\|up_proj\|k_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

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Instruction Following and Task Automation
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