Mistral Pygmalion 7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:delcos/mistral-pygm... Base model:quantized:delcos/mi...   En   Llama   Llama-2-7b   Llama2   Mistral   Pygmalion   Quantized   Region:us   Safetensors

Mistral Pygmalion 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Pygmalion 7B AWQ (TheBloke/Mistral-Pygmalion-7B-AWQ)
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Mistral Pygmalion 7B AWQ Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
The model is optimized for roleplaying with preserved abilities from Pygmalion and improved results from Mistral. It fits well for roleplaying tasks but has limitations in more complex reasoning tasks.
Supported Languages 
en ()
Input Output 
Input Format:
### Instruction: {prompt} ### Assistant:
LLM NameMistral Pygmalion 7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mistral-Pygmalion-7B-AWQ 
Model NameMistral Pygmalion 7B
Model CreatorDevon M
Base Model(s)  Mistral Pygmalion 7B   Delcos/Mistral-Pygmalion-7b
Model Size7b
Required VRAM3.9 GB
Updated2025-09-15
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-Pygmalion-7B-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124