Loyal Piano M7 AWQ by TheBloke

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Loyal Piano M7 AWQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:chargoddard/loyal-p... Base model:quantized:chargodda...   Dataset:chargoddard/rpguild   Dataset:lemonilia/limarp Dataset:openai/summarize from ... Dataset:pankajmathur/orca mini...   Dataset:pygmalionai/pippa   En   Mistral   Quantized   Region:us   Safetensors

Loyal Piano M7 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Loyal Piano M7 AWQ (TheBloke/loyal-piano-m7-AWQ)
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Loyal Piano M7 AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
roleplay, long-context recall applications
Additional Notes 
Experimenting with dataset ratios for roleplay focus.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
pankajmathur/orca_mini_v1_dataset, openai/summarize_from_feedback, PygmalionAI/PIPPA, chargoddard/rpguild, lemonilia/LimaRP
Methodology:
AWQ quantization method, roleplay-focused model with some long-context recall abilities.
Context Length:
4096
Hardware Used:
Massed Compute
Input Output 
Input Format:
{prompt}
LLM NameLoyal Piano M7 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/loyal-piano-m7-AWQ 
Model NameLoyal Piano M7
Model CreatorCharles Goddard
Base Model(s)  Loyal Piano M7   chargoddard/loyal-piano-m7
Model Size7.2b
Required VRAM4.2 GB
Updated2026-04-01
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
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 TheBloke/loyal-piano-m7-AWQ.

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Release v20260328a