Candle Hermes Trismegistus Mistral 7B by DanielClough

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  Autotrain compatible   Codegen   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow

Candle Hermes Trismegistus Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Hermes Trismegistus Mistral 7B (DanielClough/Candle_Hermes-Trismegistus-Mistral-7B)

Candle Hermes Trismegistus Mistral 7B Parameters and Internals

LLM NameCandle Hermes Trismegistus Mistral 7B
Repository ๐Ÿค—https://huggingface.co/DanielClough/Candle_Hermes-Trismegistus-Mistral-7B 
Base Model(s)  Hermes Trismegistus Mistral 7B   teknium/Hermes-Trismegistus-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
MaintainerDanielClough
Model Typemistral
Model Files  14.5 GB   2.4 GB   3.1 GB   4.1 GB   4.5 GB   4.1 GB   5.0 GB   5.4 GB   5.0 GB   5.9 GB   7.7 GB   8.2 GB   8.3 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
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 DanielClough/Candle_Hermes-Trismegistus-Mistral-7B.

Rank the Candle Hermes Trismegistus Mistral 7B Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227