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Mistral 7B OpenOrca GPTQ by TheBloke

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Mistral 7B OpenOrca GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2301.13688   Arxiv:2306.02707   4-bit Base model:open-orca/mistral-7... Base model:quantized:open-orca...   Conversational   Dataset:open-orca/openorca   Deploy:azure   En   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-OpenOrca-GPTQ 

Mistral 7B OpenOrca GPTQ Benchmarks

LLME Score: 0.10691
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B OpenOrca GPTQ (TheBloke/Mistral-7B-OpenOrca-GPTQ)
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Mistral 7B OpenOrca GPTQ Parameters and Internals

LLM NameMistral 7B OpenOrca GPTQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-OpenOrca-GPTQ 
Model NameMistral 7B OpenOrca
Model CreatorOpenOrca
Base Model(s)  Mistral 7B OpenOrca   Open-Orca/Mistral-7B-OpenOrca
Model Size7b
Required VRAM4.2 GB
Updated2026-04-08
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Cosmosage V232K / 4.2 GB74
...phyr 7B Beta Assistant V1 Gptq32K / 4.2 GB11
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-OpenOrca-GPTQ.

Rank the Mistral 7B OpenOrca GPTQ 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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