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Hermes Trismegistus Mistral 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:teknium/h... Base model:teknium/hermes-tris... Dataset:teknium/trismegistus-p...   Distillation   En   Finetuned   Gpt4   Gptq   Instruct   Mistral   Mistral-7b   Quantized   Region:us   Safetensors   Synthetic data
Model Card on HF 🤗: https://huggingface.co/TheBloke/Hermes-Trismegistus-Mistral-7B-GPTQ 

Hermes Trismegistus Mistral 7B GPTQ Benchmarks

LLME Score: 0.13932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Hermes Trismegistus Mistral 7B GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
This model was trained on a 100% synthetic dataset generated with GPT-4, focusing on esoteric, occult, and spiritual tasks.
Supported Languages 
en (English)
Training Details 
Data Sources:
gpt-4 generated dataset
Data Volume:
~10,000 examples
Input Output 
Input Format:
USER: {prompt} ASSISTANT:
LLM NameHermes Trismegistus Mistral 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Hermes-Trismegistus-Mistral-7B-GPTQ 
Model NameHermes Trismegistus Mistral 7B
Model CreatorTeknium
Base Model(s)  Hermes Trismegistus Mistral 7B   teknium/Hermes-Trismegistus-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-03-14
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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

Rank the Hermes Trismegistus Mistral 7B GPTQ Capabilities

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Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Release v20241227
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