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Openorca Stx by lightblue

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  Autotrain compatible   Dataset:csebuetnlp/xlsum   Dataset:khalidalt/tydiqa-goldp Dataset:snow simplified japane...   Endpoints compatible   Ja   Llama   Pytorch   Region:us   Sharded

Openorca Stx Benchmarks

LLME Score: 0.15296
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Openorca Stx Parameters and Internals

LLM NameOpenorca Stx
Repository 🤗https://huggingface.co/lightblue/openorca_stx 
Required VRAM26 GB
Updated2024-09-16
Maintainerlightblue
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesja
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16
Openorca Stx (lightblue/openorca_stx)

Quantized Models of the Openorca Stx

Model
Likes
Downloads
VRAM
OpenOrca Stx GGUF43025 GB
OpenOrca Stx AWQ177 GB
OpenOrca Stx GPTQ1127 GB

Best Alternatives to Openorca Stx

Best Alternatives
Context / RAM
Downloads
Likes
LWM Text Chat 512K512K / 13.5 GB112
LWM Text 512K512K / 13.5 GB62
LWM Text Chat 256K256K / 13.5 GB403
LWM Text 256K256K / 13.5 GB73
Pallas 0.5 LASER 0.1195K / 68.9 GB7062
Cyber13128K / 16.1 GB660
Cyber8128K / 16.1 GB830
LWM Text Chat 128K128K / 13.5 GB1120
...Model LWM Text Chat 128K 55bpw128K / 4.8 GB133
LWM Text 128K128K / 13.5 GB121
Note: green Score (e.g. "73.2") means that the model is better than lightblue/openorca_stx.

Rank the Openorca Stx 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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