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OpenOrca Stx GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  OpenOrca Stx GGUF   URL Share it on

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Base model:lightblue/openorca ... Base model:quantized:lightblue...   Dataset:csebuetnlp/xlsum   Dataset:khalidalt/tydiqa-goldp Dataset:snow simplified japane...   Gguf   Ja   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/OpenOrca_Stx-GGUF 

OpenOrca Stx GGUF Benchmarks

LLME Score: 0.11594
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenOrca Stx GGUF (TheBloke/OpenOrca_Stx-GGUF)
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OpenOrca Stx GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
Model achieves good performance on question answering in Japanese using QLoRA fine-tuning.
Supported Languages 
ja (Japanese)
Training Details 
Data Sources:
snow_simplified_japanese_corpus, khalidalt/tydiqa-goldp, csebuetnlp/xlsum
Methodology:
QLoRA finetuning
Input Output 
Input Format:
{prompt}
LLM NameOpenOrca Stx GGUF
Repository 🤗https://huggingface.co/TheBloke/OpenOrca_Stx-GGUF 
Model NameOpenOrca Stx
Model CreatorLightblue Technology Inc.
Base Model(s)  Openorca Stx   lightblue/openorca_stx
Required VRAM5.4 GB
Updated2025-09-16
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesja
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenOrca_Stx-GGUF.

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Instruction Following and Task Automation  
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Release v20241124
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