Aixcoder 7B GPTQ by TechxGenus

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  4-bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors

Aixcoder 7B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aixcoder 7B GPTQ (TechxGenus/aixcoder-7b-GPTQ)

Aixcoder 7B GPTQ Parameters and Internals

Model Type 
code generation, code completion
Use Cases 
Areas:
real development scenarios
Applications:
code completion, code generation
Limitations:
Not specifically instruct-tuned for specialized tasks like test case generation and code debugging
Training Details 
Data Volume:
1.2T Unique Tokens
Methodology:
Designed pre-training tasks and contextual information for real-world code generation contexts
Input Output 
Performance Tips:
Install flash attention for faster inference speeds, especially for large models
LLM NameAixcoder 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TechxGenus/aixcoder-7b-GPTQ 
Model Size7b
Required VRAM4.5 GB
Updated2024-12-21
MaintainerTechxGenus
Model Typellama
Model Files  4.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size49152
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/aixcoder-7b-GPTQ.

Rank the Aixcoder 7B GPTQ 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 v20241217