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Qwen2.5 1.5B Instruct GPTQ Int4 by Qwen

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Qwen2.5 1.5B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 1.5b LLM, VRAM: 1.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2407.10671   4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-1.5b-i...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4 

Qwen2.5 1.5B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.16926
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 Instruct GPTQ Int4 (Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4)
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Qwen2.5 1.5B Instruct GPTQ Int4 Parameters and Internals

LLM NameQwen2.5 1.5B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM1.1 GB
Updated2026-05-09
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 1.5B Instruct GPTQ Int4

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Context / RAM
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Qwen2 1.5B Instruct GPTQ Int432K / 2.5 GB370965
...wen2.5 1.5B Instruct GPTQ Int832K / 1.8 GB4106
... Coder 1.5B Instruct GPTQ Int432K / 1.1 GB1762
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Qwen2 1.5B Instruct GPTQ Int832K / 3.2 GB564
...5 1.5B Reasoning Warmup Merged32K / 3.1 GB4140
Shlonak Qwen25 Shami V632K / 3.1 GB2700
...n2.5 1.5B Indonesian Sft Pgabl32K / 3.1 GB230
...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB805245
Zirel 1.532K / 3.1 GB180
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4.

Rank the Qwen2.5 1.5B Instruct GPTQ Int4 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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