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Quyen Mini V0.1 by vilm

 »  All LLMs  »  vilm  »  Quyen Mini V0.1   URL Share it on

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  Autotrain compatible   Conversational Dataset:argilla/distilabel-cap...   Dataset:intel/orca dpo pairs   Dataset:ldjnr/capybara   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Model-index   Pytorch   Qwen2   Region:us
Model Card on HF 🤗: https://huggingface.co/vilm/Quyen-Mini-v0.1 

Quyen Mini V0.1 Benchmarks

ARC: 39.33 vs 96.7 (so35)-59.3%
HellaSwag: 60.57 vs 95.3 (gpt4)-36.4%
MMLU: 43.93 vs 88.3 (so35)-50.2%
TruthfulQA: 46.44 vs 59 (gpt4)-21.3%
WinoGrande: 59.12 vs 87.5 (gpt4)-32.4%
GSM8K: 27.45 vs 96.4 (so35)-71.5%
LLME Score: 0.16591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quyen Mini V0.1 (vilm/Quyen-Mini-v0.1)
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Quyen Mini V0.1 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
OpenHermes-2.5 by Teknium, Capyabara by LDJ, argilla/distilabel-capybara-dpo-7k-binarized by argilla, orca_dpo_pairs by Intel, Private Data by Ontocord & BEE-spoke-data
Methodology:
Trained with SFT and DPO
LLM NameQuyen Mini V0.1
Repository 🤗https://huggingface.co/vilm/Quyen-Mini-v0.1 
Required VRAM3.7 GB
Updated2025-10-08
Maintainervilm
Model Typeqwen2
Model Files  3.7 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Quyen Mini V0.1

Model
Likes
Downloads
VRAM
Quyen Mini V0.1 GPTQ171 GB

Best Alternatives to Quyen Mini V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5128K / 15.2 GB50
XJJ DeepSeek R1 COT128K / 0.1 GB50
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
KYRA 1.0X Horizon32K / 29.7 GB51
RP Jp 232K / 1 GB61
Qwen Coder7B Finetune32K / 15.2 GB180
Qwen Coder7B Finetune32K / 15.2 GB60
XFinder Qwen150532K / 0.9 GB54
Note: green Score (e.g. "73.2") means that the model is better than vilm/Quyen-Mini-v0.1.

Rank the Quyen Mini V0.1 Capabilities

🆘 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! 🌟

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 v20241124
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