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OpenHermes 2.5 Mistral 7B Hun GGUF by ariel-ml

 »  All LLMs  »  ariel-ml  »  OpenHermes 2.5 Mistral 7B Hun GGUF   URL Share it on

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Base model:quantized:teknium/o... Base model:teknium/openhermes-...   Conversational   En   Endpoints compatible   Gguf   Hu   Mistral   Quantized   Region:us   Unsloth

OpenHermes 2.5 Mistral 7B Hun GGUF Benchmarks

LLME Score: 0.18765
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OpenHermes 2.5 Mistral 7B Hun GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Supported Languages 
en (English), hu (Hungarian)
Training Details 
Methodology:
Finetuned using Unsloth and Huggingface's TRL library
Training Time:
2x faster with Unsloth
LLM NameOpenHermes 2.5 Mistral 7B Hun GGUF
Repository 🤗https://huggingface.co/ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B   teknium/OpenHermes-2.5-Mistral-7B
Model Size7b
Required VRAM4.4 GB
Updated2024-11-21
Maintainerariel-ml
Model Typemistral
Model Files  4.4 GB
Supported Languagesen hu
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
OpenHermes 2.5 Mistral 7B Hun GGUF (ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF)

Best Alternatives to OpenHermes 2.5 Mistral 7B Hun GGUF

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Context / RAM
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Pixel8K / 4.4 GB180
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB197055363
Qwen2 7B Instruct GGUF0K / 1.9 GB21305429
WizardLM 2 7B GGUF0K / 2.7 GB190603474
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB138341398
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB583277
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB188922511
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
Note: green Score (e.g. "73.2") means that the model is better than ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF.

Rank the OpenHermes 2.5 Mistral 7B Hun GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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