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OpenHermes 2.5 Mistral 7B Marlin by neuralmagic

 »  All LLMs  »  neuralmagic  »  OpenHermes 2.5 Mistral 7B Marlin   URL Share it on

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  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/RedHatAI/OpenHermes-2.5-Mistral-7B-marlin 

OpenHermes 2.5 Mistral 7B Marlin Benchmarks

LMSys ELO: 1074 vs 1272 (so35)-15.6%
ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 84.3 vs 95.3 (gpt4)-11.5%
MMLU: 63.82 vs 88.3 (so35)-27.7%
TruthfulQA: 52.31 vs 59 (gpt4)-11.3%
WinoGrande: 77.9 vs 87.5 (gpt4)-11%
GSM8K: 25.47 vs 96.4 (so35)-73.6%
LLME Score: 0.24855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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OpenHermes 2.5 Mistral 7B Marlin Parameters and Internals

LLM NameOpenHermes 2.5 Mistral 7B Marlin
Repository 🤗https://huggingface.co/RedHatAI/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
Updated2025-06-09
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
OpenHermes 2.5 Mistral 7B Marlin (RedHatAI/OpenHermes-2.5-Mistral-7B-marlin)

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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  
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Release v20241124
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