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OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin by ramitpahwa13

 »  All LLMs  »  ramitpahwa13  »  OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin   URL Share it on

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin 

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin Benchmarks

LLME Score: 0.17152
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 Pruned50 GPTQ Marlin (ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin)
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OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin Parameters and Internals

LLM NameOpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin
Repository 🤗https://huggingface.co/ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin 
Base Model(s)  neuralmagic/OpenHermes-2.5-Mistral-7B-pruned50-quant-ds   neuralmagic/OpenHermes-2.5-Mistral-7B-pruned50-quant-ds
Model Size7b
Required VRAM4 GB
Updated2025-07-24
Maintainerramitpahwa13
Model Typemistral
Model Files  4.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin.

Rank the OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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