OpenOrca Stx GGUF by TheBloke

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

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

OpenOrca Stx GGUF Benchmarks

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)
๐ŸŒŸ Advertise your project ๐Ÿš€

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 ๐Ÿค—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
Updated2025-08-21
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

Best Alternatives to OpenOrca Stx GGUF

Best Alternatives
Context / RAM
Downloads
Likes
ComicBot V.2 Gguf32K / 5 GB160
Gemma2 WizardLM0K / 5.2 GB50
Phi 2 GGUF0K / 1.2 GB165480226
...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB44731635
Marco O1 GGUF0K / 3 GB826
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB11972303
Mixtral 8x7B V0.1 GGUF0K / 15.6 GB5987430
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB11798145
Open Gpt4 8x7B GGUF0K / 15.6 GB1806923
GOAT Llama3.1 V0.10K / 0.2 GB23
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenOrca_Stx-GGUF.

Rank the OpenOrca Stx GGUF Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 50767 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124