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R1 Code Interpreter 14B by yongchao98

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R1 Code Interpreter 14B is an open-source language model by yongchao98. Features: 14b LLM, VRAM: 59.1GB, Context: 986K, License: mit, LLM Explorer Score: 0.19.

  Arxiv:2505.21668   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yongchao98/R1-Code-Interpreter-14B 

R1 Code Interpreter 14B Benchmarks

LLME Score: 0.18892
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
R1 Code Interpreter 14B (yongchao98/R1-Code-Interpreter-14B)
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R1 Code Interpreter 14B Parameters and Internals

LLM NameR1 Code Interpreter 14B
Repository 🤗https://huggingface.co/yongchao98/R1-Code-Interpreter-14B 
Model Size14b
Required VRAM59.1 GB
Updated2026-05-18
Maintaineryongchao98
Model Typeqwen2
Model Files  4.8 GB: 1-of-12   5.0 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   5.0 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   4.8 GB: 12-of-12
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length1010000
Model Max Length1010000
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to R1 Code Interpreter 14B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB18001337
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB508
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB135
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB628
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB644
Etr1o V1.2986K / 29.7 GB160
Impish QWEN 14B 1M986K / 29.7 GB1624
Note: green Score (e.g. "73.2") means that the model is better than yongchao98/R1-Code-Interpreter-14B.

Rank the R1 Code Interpreter 14B 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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