LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

RuadaptQwen2.5 14B Instruct by RefalMachine

 »  All LLMs  »  RefalMachine  »  RuadaptQwen2.5 14B Instruct   URL Share it on

  1572   
  Arxiv:2412.21140   Conversational   Dataset:dichspace/darulm Dataset:ilyagusev/saiga prefer...   Dataset:ilyagusev/saiga scored   Instruct   Qwen2   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RefalMachine/RuadaptQwen2.5-14B-Instruct 

RuadaptQwen2.5 14B Instruct Benchmarks

LLME Score: 0.29754
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RuadaptQwen2.5 14B Instruct (RefalMachine/RuadaptQwen2.5-14B-Instruct)

RuadaptQwen2.5 14B Instruct Parameters and Internals

LLM NameRuadaptQwen2.5 14B Instruct
Repository 🤗https://huggingface.co/RefalMachine/RuadaptQwen2.5-14B-Instruct 
Model Size14b
Required VRAM29.6 GB
Updated2025-03-14
MaintainerRefalMachine
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesru
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size145152
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to RuadaptQwen2.5 14B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB58049279
Qwen2.5 14B YOYO V4986K / 29.7 GB3573
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB3386
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2373
Calcium Opus 14B Elite 1M986K / 29.7 GB83713
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB2524
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1150
Impish QWEN 14B 1M986K / 29.7 GB8415
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB1181
Qwen2.5 14B DeepSeek R1 1M986K / 29.7 GB11814
Note: green Score (e.g. "73.2") means that the model is better than RefalMachine/RuadaptQwen2.5-14B-Instruct.

Rank the RuadaptQwen2.5 14B Instruct 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  

What open-source LLMs or SLMs are you in search of? 45019 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer