XJJ DeepSeek R1 COT by xiongjj

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XJJ DeepSeek R1 COT is an open-source language model by xiongjj. Features: LLM, VRAM: 0.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:xiongjj/xj... Base model:xiongjj/xjj-deepsee...   Conversational   En   Endpoints compatible   Pytorch   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth

XJJ DeepSeek R1 COT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

XJJ DeepSeek R1 COT Parameters and Internals

LLM NameXJJ DeepSeek R1 COT
Repository 🤗https://huggingface.co/xiongjj/XJJ-DeepSeek-R1-COT 
Base Model(s)  XJJ DeepSeek R1 COT   xiongjj/XJJ-DeepSeek-R1-COT
Required VRAM0.1 GB
Updated2026-04-29
Maintainerxiongjj
Model Typeqwen2
Model Files  0.1 GB   3.5 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than xiongjj/XJJ-DeepSeek-R1-COT.

Rank the XJJ DeepSeek R1 COT 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 v20260328a