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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

OpenHermes 2.5 Mistral 7B Marlin Benchmarks

LLME Score: 0.20682
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 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
Updated2024-11-21
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 (neuralmagic/OpenHermes-2.5-Mistral-7B-marlin)

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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.

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Release v20241110
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