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CodeQwen1.5 7B Chat EXL2 8.0bpw by Dracones

 »  All LLMs  »  Dracones  »  CodeQwen1.5 7B Chat 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...   Chat   Conversational   En   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Dracones/CodeQwen1.5-7B-Chat_exl2_8.0bpw 

CodeQwen1.5 7B Chat EXL2 8.0bpw Benchmarks

LLME Score: 0.15107
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 Chat EXL2 8.0bpw (Dracones/CodeQwen1.5-7B-Chat_exl2_8.0bpw)
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CodeQwen1.5 7B Chat EXL2 8.0bpw Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a quantized version, using EXL2 version 0.0.18.
Supported Languages 
en (English proficiency)
LLM NameCodeQwen1.5 7B Chat EXL2 8.0bpw
Repository 🤗https://huggingface.co/Dracones/CodeQwen1.5-7B-Chat_exl2_8.0bpw 
Base Model(s)  Qwen/CodeQwen1.5-7B-Chat   Qwen/CodeQwen1.5-7B-Chat
Model Size7b
Required VRAM7.5 GB
Updated2025-09-13
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-Chat_exl2_8.0bpw.

Rank the CodeQwen1.5 7B Chat 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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