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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: 0.18109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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
Updated2025-06-09
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
Quyen Mini V0.1 (vilm/Quyen-Mini-v0.1)

Quantized Models of the Quyen Mini V0.1

Model
Likes
Downloads
VRAM
Quyen Mini V0.1 GPTQ1141 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 GB60
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
KYRA 1.0X Horizon32K / 29.7 GB281
RP Jp 232K / 1 GB81
Qwen Coder7B Finetune32K / 15.2 GB180
XFinder Qwen150532K / 0.9 GB54
Deep Ft12 Grp 16bit128K / 3.5 GB280
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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