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Quyen Plus V0.1 GPTQ by LoneStriker

 »  All LLMs  »  LoneStriker  »  Quyen Plus V0.1 GPTQ   URL Share it on

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  4bit   Autotrain compatible   Conversational Dataset:argilla/distilabel-cap...   Dataset:intel/orca dpo pairs   Dataset:ldjnr/capybara   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Quyen-Plus-v0.1-GPTQ 

Quyen Plus V0.1 GPTQ Benchmarks

LLME Score: 0.16537
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quyen Plus V0.1 GPTQ (LoneStriker/Quyen-Plus-v0.1-GPTQ)

Quyen Plus V0.1 GPTQ Parameters and Internals

Model Type 
text generation
Additional Notes 
Acknowledgement: Grateful to Tensoic and Ontocord for support with compute and data preparation. Special thanks to the Qwen team.
Supported Languages 
en (English)
Training Details 
Data Sources:
teknium/OpenHermes-2.5, LDJnr/Capybara, Intel/orca_dpo_pairs, argilla/distilabel-capybara-dpo-7k-binarized, Private Data by Ontocord & BEE-spoke-data
Methodology:
Trained with SFT and DPO
Input Output 
Input Format:
ChatML as the default template
Accepted Modalities:
text
LLM NameQuyen Plus V0.1 GPTQ
Repository 🤗https://huggingface.co/LoneStriker/Quyen-Plus-v0.1-GPTQ 
Required VRAM6.2 GB
Updated2025-02-05
MaintainerLoneStriker
Model Typeqwen2
Model Files  6.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Quyen-Plus-v0.1-GPTQ.

Rank the Quyen Plus V0.1 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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Release v20241227
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