What are the hardware requirements for ProFAQLM 3B?

ProFAQLM 3B requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ProFAQLM 3B and how large is it?

ProFAQLM 3B is developed by park-bit, a model with 3b 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 ProFAQLM 3B?

ProFAQLM 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ProFAQLM 3B by park-bit — VRAM 0.1GB

Name: ProFAQLM 3B
Author: park-bit

ProFAQLM 3B is an open-source language model by park-bit. Features: 3b LLM, VRAM: 0.1GB, Quantized, Instruction-Based, LLM Explorer Score: 0.3.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Conversational Endpoints compatible Gguf Instruct Lora Peft Q4 Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/park-bit/ProFAQLM-3B

ProFAQLM 3B Parameters and Internals

LLM Name	ProFAQLM 3B
Repository 🤗	https://huggingface.co/park-bit/ProFAQLM-3B
Model Name	lora_adapter
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	0.1 GB
Updated	2026-09-28
Maintainer	park-bit
Instruction-Based	Yes
Model Files	0.1 GB 1.9 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
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	down_proj\|k_proj\|q_proj\|o_proj\|up_proj\|v_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the ProFAQLM 3B 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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