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LemonadeRP 4.5.3 AWQ by solidrust

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LemonadeRP 4.5.3 AWQ is an open-source language model by solidrust. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.14.

  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 Benchmarks

LLME Score: 0.13859
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LemonadeRP 4.5.3 AWQ (solidrust/LemonadeRP-4.5.3-AWQ)
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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 NameLemonadeRP 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 Size1.2b
Required VRAM4.2 GB
Updated2025-09-22
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the LemonadeRP 4.5.3 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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