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ESC Role by haidequanbu

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ESC Role is an open-source language model by haidequanbu. Features: 14b LLM, VRAM: 28.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.15.

  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/haidequanbu/ESC-Role 

ESC Role Benchmarks

LLME Score: 0.15044
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ESC Role (haidequanbu/ESC-Role)
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ESC Role Parameters and Internals

Additional Notes 
A role-playing agents training specific for LLM-based ESC models evaluation.
LLM NameESC Role
Repository 🤗https://huggingface.co/haidequanbu/ESC-Role 
Model Size14b
Required VRAM28.3 GB
Updated2025-10-24
Maintainerhaidequanbu
Model Typeqwen2
Model Files  3.9 GB: 1-of-8   4.0 GB: 2-of-8   3.9 GB: 3-of-8   3.9 GB: 4-of-8   3.9 GB: 5-of-8   4.0 GB: 6-of-8   3.1 GB: 7-of-8   1.6 GB: 8-of-8
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...14B Instruct 1M GRPO Reasoning986K / 29.7 GB394
Etr1o V1.2986K / 29.7 GB60
Impish QWEN 14B 1M986K / 29.7 GB918
Note: green Score (e.g. "73.2") means that the model is better than haidequanbu/ESC-Role.

Rank the ESC Role 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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