What are the hardware requirements for Dans PersonalityEngine 30B LoRA?

Dans PersonalityEngine 30B 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 Dans PersonalityEngine 30B LoRA and how large is it?

Dans PersonalityEngine 30B LoRA is developed by PocketDoc, a model with 30b 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 Dans PersonalityEngine 30B LoRA?

Dans PersonalityEngine 30B LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dans PersonalityEngine 30B LoRA by PocketDoc — VRAM 0.2GB

Name: Dans PersonalityEngine 30B LoRA
Author: PocketDoc

Dans PersonalityEngine 30B LoRA is an open-source language model by PocketDoc. Features: 30b LLM, VRAM: 0.2GB, LLM Explorer Score: 0.07.

Adapter En Finetuned Lora Region:us

Model Card on HF 🤗: https://huggingface.co/PocketDoc/Dans-PersonalityEngine-30b-LoRA

Dans PersonalityEngine 30B LoRA Parameters and Internals

Model Type

chat, chat instruct, role playing

Additional Notes

The model uses a curated pile of training data normalized into a consistent format. It has been trained on a wide array of one-shot instructions, multi-round instructions, and role-playing scenarios.

Training Details

Methodology:

GPTQ 4-bit LoRA, 2 Epochs, 64/32 R/A, 2048 Cutoff, 42 hours on 1x RTX 4090.

Context Length:

2048

Training Time:

42 hours

Hardware Used:

1x RTX 4090

Input Output

Input Format:

Metharme Prompt format: System-User-Model

LLM Name	Dans PersonalityEngine 30B LoRA
Repository 🤗	https://huggingface.co/PocketDoc/Dans-PersonalityEngine-30b-LoRA
Model Size	30b
Required VRAM	0.2 GB
Updated	2024-09-05
Maintainer	PocketDoc
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32

Rank the Dans PersonalityEngine 30B 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

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Note: green Score (e.g. "73.2") means that the model is better than PocketDoc/Dans-PersonalityEngine-30b-LoRA.