What are the hardware requirements for Ifai Promptmkr Dolphin Phi3 Lora?

Ifai Promptmkr Dolphin Phi3 Lora requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ifai Promptmkr Dolphin Phi3 Lora and how large is it?

Ifai Promptmkr Dolphin Phi3 Lora is developed by impactframes, a model with 4.5b 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 Ifai Promptmkr Dolphin Phi3 Lora?

Ifai Promptmkr Dolphin Phi3 Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ifai Promptmkr Dolphin Phi3 Lora by impactframes — VRAM 0.2GB

Name: Ifai Promptmkr Dolphin Phi3 Lora
Author: impactframes

Ifai Promptmkr Dolphin Phi3 Lora is an open-source language model by impactframes. Features: 4.5b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.12.

Base model:dphn/dolphin-2.9.1-... Base model:finetune:dphn/dolph... En Endpoints compatible Lora Mistral Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/impactframes/ifai_promptmkr_dolphin_phi3_lora

Ifai Promptmkr Dolphin Phi3 Lora Parameters and Internals

Model Type

text-generation-inference, transformers

Training Details

Data Sources:

Phi3, synthetic dataset

Data Volume:

>50,000 high-quality SD prompts

LLM Name	Ifai Promptmkr Dolphin Phi3 Lora
Repository 🤗	https://huggingface.co/impactframes/ifai_promptmkr_dolphin_phi3_lora
Base Model(s)	cognitivecomputations/Dolphin-2.9.1-Phi-3-Kensho-4.5B cognitivecomputations/Dolphin-2.9.1-Phi-3-Kensho-4.5B
Model Size	4.5b
Required VRAM	0.2 GB
Updated	2026-07-04
Maintainer	impactframes
Model Files	0.2 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|down_proj\|up_proj\|o_proj\|v_proj\|q_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

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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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