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Hermes Trismegistus Mistral 7B by teknium

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  Autotrain compatible   Codegen Dataset:teknium/trismegistus-p...   Distillation   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Mistral   Mistral-7b   Pytorch   Region:us   Sharded   Synthetic data
Model Card on HF 🤗: https://huggingface.co/teknium/Hermes-Trismegistus-Mistral-7B 

Hermes Trismegistus Mistral 7B Benchmarks

LLME Score: 0.1193
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes Trismegistus Mistral 7B (teknium/Hermes-Trismegistus-Mistral-7B)
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Hermes Trismegistus Mistral 7B Parameters and Internals

Model Type 
instruct, finetune
Use Cases 
Areas:
esoteric, occult, spirituality
Additional Notes 
Acknowledgements to @a16z for support.
Supported Languages 
en (Fluent)
Training Details 
Data Sources:
teknium/trismegistus-project
Data Volume:
~10,000 examples
Methodology:
Trained on a synthetic GPT-4 generated dataset
Input Output 
Input Format:
USER: ASSISTANT:
Accepted Modalities:
text
Output Format:
Textual output for user queries
LLM NameHermes Trismegistus Mistral 7B
Repository 🤗https://huggingface.co/teknium/Hermes-Trismegistus-Mistral-7B 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B-v0.1   teknium/OpenHermes-2.5-Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerteknium
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

Quantized Models of the Hermes Trismegistus Mistral 7B

Model
Likes
Downloads
VRAM
...Hermes Trismegistus Mistral 7B08614 GB
...s Trismegistus Mistral 7B GGUF259583 GB
...s Trismegistus Mistral 7B GGUF01243 GB
...es Trismegistus Mistral 7B AWQ1464 GB
...s Trismegistus Mistral 7B GPTQ3124 GB

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Context / RAM
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Likes
SpydazWeb AI HumanAI RP512K / 14.4 GB171
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Threebird 7B32K / 14.5 GB50
Mistral 7B Merged32K / 14.5 GB60
Jett W26 Abliterated32K / 14.4 GB51
Jett W2632K / 14.5 GB61
Ultra Llm Merged32K / 14.5 GB60
RP Coder SM332K / 14.5 GB70
The Trinity Coder 7B32K / 14.4 GB46
MonarchCoder 7B32K / 14.4 GB61
Note: green Score (e.g. "73.2") means that the model is better than teknium/Hermes-Trismegistus-Mistral-7B.

Rank the Hermes Trismegistus Mistral 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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