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OpenHermes 2.5 Mistral 7B Marlin by neuralmagic

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OpenHermes 2.5 Mistral 7B Marlin is an open-source language model by neuralmagic. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2210.17323   4-bit   Autotrain compatible Base model:quantized:teknium/o... Base model:teknium/openhermes-...   Conversational   Endpoints compatible   Gptq   Int4   Marlin   Mistral   Nm-vllm   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/neuralmagic/OpenHermes-2.5-Mistral-7B-marlin 

OpenHermes 2.5 Mistral 7B Marlin Benchmarks

LLME Score: 0.13013
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 Marlin (neuralmagic/OpenHermes-2.5-Mistral-7B-marlin)
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OpenHermes 2.5 Mistral 7B Marlin Parameters and Internals

Model Type 
mistral
Additional Notes 
The model is optimized for use with the nm-vllm serving engine and quantized using GPTQ for efficient 4-bit inference in the Marlin format.
LLM NameOpenHermes 2.5 Mistral 7B Marlin
Repository 🤗https://huggingface.co/neuralmagic/OpenHermes-2.5-Mistral-7B-marlin 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B   teknium/OpenHermes-2.5-Mistral-7B
Model Size7b
Required VRAM4.1 GB
Updated2025-04-08
Maintainerneuralmagic
Model Typemistral
Model Files  4.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
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 neuralmagic/OpenHermes-2.5-Mistral-7B-marlin.

Rank the OpenHermes 2.5 Mistral 7B Marlin 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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