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HF TOKEN by Supichi

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HF TOKEN is an open-source language model by Supichi. Features: 32b LLM, VRAM: 34.5GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

  Merged Model Base model:qwen/qwen2.5-32b-in... Base model:tanliboy/lambda-qwe...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Supichi/HF_TOKEN 

HF TOKEN Benchmarks

MMLU Pro: 1.22
GPQA: 1.79
MUSR: 2.9
BBH: 1.15
IFEval: 13.8 vs 88 (so35)-84.3%
MATH Lvl 5: 0.08
LLME Score: 0.19042
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HF TOKEN (Supichi/HF_TOKEN)
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HF TOKEN Parameters and Internals

LLM NameHF TOKEN
Repository 🤗https://huggingface.co/Supichi/HF_TOKEN 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   tanliboy/lambda-qwen2.5-32b-dpo-test   Qwen/Qwen2.5-32B-Instruct   tanliboy/lambda-qwen2.5-32b-dpo-test
Merged ModelYes
Model Size32b
Required VRAM34.5 GB
Updated2025-12-04
MaintainerSupichi
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   5.0 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   4.9 GB: 5-of-7   4.9 GB: 6-of-7   4.9 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Supichi/HF_TOKEN.

Rank the HF TOKEN 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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