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Qwen2 1.5B Instruct AWQ by Qwen

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Qwen2 1.5B Instruct AWQ is an open-source language model by Qwen. Features: 1.5b LLM, VRAM: 1.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4-bit   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2-1.5b-ins...   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-1.5B-Instruct-AWQ 

Qwen2 1.5B Instruct AWQ Benchmarks

LLME Score: 0.19111
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct AWQ (Qwen/Qwen2-1.5B-Instruct-AWQ)
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Qwen2 1.5B Instruct AWQ Parameters and Internals

Model Type 
text-generation, chat
Supported Languages 
en (supported)
LLM NameQwen2 1.5B Instruct AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen2-1.5B-Instruct-AWQ 
Base Model(s)  Qwen/Qwen2-1.5B-Instruct   Qwen/Qwen2-1.5B-Instruct
Model Size1.5b
Required VRAM1.6 GB
Updated2026-05-09
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  1.6 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 1.5B Instruct AWQ32K / 1.6 GB7472906
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Qwen2.5 1.5B Instruct Bnb 4bit32K / 1.1 GB344265
Qwen2.5 1.5B Claude32K / 3.1 GB80
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-1.5B-Instruct-AWQ.

Rank the Qwen2 1.5B Instruct AWQ 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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