What are the hardware requirements for LemonadeRP 4.5.3 AWQ?

LemonadeRP 4.5.3 AWQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LemonadeRP 4.5.3 AWQ and how large is it?

LemonadeRP 4.5.3 AWQ is developed by solidrust, a model with 7.2b 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 LemonadeRP 4.5.3 AWQ?

LemonadeRP 4.5.3 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LemonadeRP 4.5.3 AWQ by solidrust — VRAM 4.2GB, 32K context

Name: LemonadeRP 4.5.3 AWQ
Author: solidrust

LemonadeRP 4.5.3 AWQ is an open-source language model by solidrust. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Awq Base model:katythecutie/lemona... Base model:quantized:katythecu... En Endpoints compatible Mistral Quantized Region:us Roleplay Safetensors

Model Card on HF 🤗: https://huggingface.co/solidrust/LemonadeRP-4.5.3-AWQ

LemonadeRP 4.5.3 AWQ Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

roleplay, text generation

Applications:

SillyTavern, creative text generation

Additional Notes

The model is optimized to manage long context up to 32K, designed to enhance creativity and avoid clichés in roleplaying scenarios.

Supported Languages

english (proficient)

Training Details

Data Sources:

NeverSleep/Noromaid-7B-0.4-DPO, cgato/Thespis-7b-v0.5-SFTTest-2Epoch, NurtureAI/neural-chat-7b-v3-1-16k, cgato/Thespis-CurtainCall-7b-v0.2.2, tavtav/eros-7b-test

Methodology:

Roleplay focused merge with emphasis on creativity and reducing clichés.

Context Length:

8192

LLM Name	LemonadeRP 4.5.3 AWQ
Repository 🤗	https://huggingface.co/solidrust/LemonadeRP-4.5.3-AWQ
Base Model(s)	KatyTheCutie/LemonadeRP-4.5.3 KatyTheCutie/LemonadeRP-4.5.3
Model Size	7.2b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	solidrust
Model Type	mistral
Model Files	4.2 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	cc-by-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the LemonadeRP 4.5.3 AWQ 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

Best Alternatives to LemonadeRP 4.5.3 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Feedback Wizard 4bit AWQ	32K / 4.2 GB	6	0
Ryze AWQ 4bit	32K / 4.2 GB	5	0
...V3 Plot Chat Roleplay Chat AWQ	32K / 4.2 GB	7	0
...lot Engine Step Json Short AWQ	32K / 4.2 GB	5	0
MistralLite AWQ	32K / 4.2 GB	36	6
Functionary Small V2.4 AWQ	32K / 4.2 GB	1	1
Hc Mistral Alpaca Merged AWQ	32K / 4.2 GB	5	0
Garrulus AWQ	32K / 4.2 GB	7	2
Phoenix AWQ	32K / 4.2 GB	28	1
HamSter 0.1 AWQ	32K / 4.2 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than solidrust/LemonadeRP-4.5.3-AWQ.