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Qwen2.5 Coder 1.5B Instruct GPTQ Int8 by Qwen

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Qwen2.5 Coder 1.5B Instruct GPTQ Int8 is an open-source language model by Qwen. Features: 1.5b LLM, VRAM: 1.8GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.

  Arxiv:2407.10671   Arxiv:2409.12186   8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   Deploy:azure   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8 

Qwen2.5 Coder 1.5B Instruct GPTQ Int8 Benchmarks

LLME Score: 0.15521
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 1.5B Instruct GPTQ Int8 (Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8)
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Qwen2.5 Coder 1.5B Instruct GPTQ Int8 Parameters and Internals

LLM NameQwen2.5 Coder 1.5B Instruct GPTQ Int8
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B-Instruct   Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size1.5b
Required VRAM1.8 GB
Updated2026-05-07
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  1.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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...wen2.5 Coder 1.5B Instruct AWQ32K / 1.6 GB1234974
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8.

Rank the Qwen2.5 Coder 1.5B Instruct GPTQ Int8 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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