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Mistral Pygmalion 7B by Delcos

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  Autotrain compatible   En   Endpoints compatible   Llama   Llama-2-7b   Llama2   Mistral   Pygmalion   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Delcos/Mistral-Pygmalion-7b 

Mistral Pygmalion 7B Benchmarks

ARC: 54.44 vs 96.7 (so35)-43.7%
HellaSwag: 78.48 vs 95.3 (gpt4)-17.6%
MMLU: 49.23 vs 88.3 (so35)-44.2%
TruthfulQA: 41.82 vs 59 (gpt4)-29.1%
WinoGrande: 75.3 vs 87.5 (gpt4)-13.9%
GSM8K: 6.82 vs 96.4 (so35)-92.9%
LLME Score: 0.15685
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 (Delcos/Mistral-Pygmalion-7b)
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Mistral Pygmalion 7B Parameters and Internals

Model Type 
Text generation
Use Cases 
Areas:
Roleplay
Primary Use Cases:
Roleplay
Limitations:
Not perfect at complex reasoning tasks
Additional Notes 
This model merges Pygmalion's roleplay capabilities with Mistral's improved results.
Supported Languages 
en (High proficiency)
Input Output 
Input Format:
Instruction-Output prompt
Accepted Modalities:
Text
Output Format:
Text
LLM NameMistral Pygmalion 7B
Repository 🤗https://huggingface.co/Delcos/Mistral-Pygmalion-7b 
Model Size7b
Required VRAM13.3 GB
Updated2025-09-23
MaintainerDelcos
Model Typellama
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   2.0 GB: 5-of-7   2.0 GB: 6-of-7   1.3 GB: 7-of-7
Supported Languagesen
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

Quantized Models of the Mistral Pygmalion 7B

Model
Likes
Downloads
VRAM
Mistral Pygmalion 7B GGUF98062 GB
Mistral Pygmalion 7B GPTQ1083 GB
Mistral Pygmalion 7B AWQ5183 GB

Best Alternatives to Mistral Pygmalion 7B

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Context / RAM
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1241024K / 16.1 GB930
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Note: green Score (e.g. "73.2") means that the model is better than Delcos/Mistral-Pygmalion-7b.

Rank the Mistral Pygmalion 7B 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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Release v20241124
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