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Qwen2.5 1.5B Ultrachat200k by AIR-hl

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Qwen2.5 1.5B Ultrachat200k is an open-source language model by AIR-hl. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

  Alignment Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Chat   Conversational   Custome Dataset:huggingfaceh4/ultracha...   Endpoints compatible   Qwen   Qwen2   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/AIR-hl/Qwen2.5-1.5B-ultrachat200k 

Qwen2.5 1.5B Ultrachat200k Benchmarks

LLME Score: 0.16085
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Ultrachat200k (AIR-hl/Qwen2.5-1.5B-ultrachat200k)
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Qwen2.5 1.5B Ultrachat200k Parameters and Internals

LLM NameQwen2.5 1.5B Ultrachat200k
Repository 🤗https://huggingface.co/AIR-hl/Qwen2.5-1.5B-ultrachat200k 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-12
MaintainerAIR-hl
Model Typeqwen2
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AIR-hl/Qwen2.5-1.5B-ultrachat200k.

Rank the Qwen2.5 1.5B Ultrachat200k 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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