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CodeQwen1.5 7B EXL2 8.0bpw by Dracones

 »  All LLMs  »  Dracones  »  CodeQwen1.5 7B EXL2 8.0bpw   URL Share it on

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  8-bit   Autotrain compatible Base model:quantized:qwen/code...   Base model:qwen/codeqwen1.5-7b   Conversational   En   Endpoints compatible   Exl2   Pretrained   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Dracones/CodeQwen1.5-7B_exl2_8.0bpw 

CodeQwen1.5 7B EXL2 8.0bpw Benchmarks

LLME Score: 0.15608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeQwen1.5 7B EXL2 8.0bpw (Dracones/CodeQwen1.5-7B_exl2_8.0bpw)
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CodeQwen1.5 7B EXL2 8.0bpw Parameters and Internals

Additional Notes 
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library. If you have problems loading these models, please update Text Generation WebUI to the latest version.
LLM NameCodeQwen1.5 7B EXL2 8.0bpw
Repository 🤗https://huggingface.co/Dracones/CodeQwen1.5-7B_exl2_8.0bpw 
Base Model(s)  Qwen/CodeQwen1.5-7B   Qwen/CodeQwen1.5-7B
Model Size7b
Required VRAM7.5 GB
Updated2025-07-30
MaintainerDracones
Model Typeqwen2
Model Files  7.5 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Dracones/CodeQwen1.5-7B_exl2_8.0bpw.

Rank the CodeQwen1.5 7B EXL2 8.0bpw 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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