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WizardCoder Python 7B V1.0 GGUF by second-state

 »  All LLMs  »  second-state  »  WizardCoder Python 7B V1.0 GGUF   URL Share it on

  460   
  Autotrain compatible   Code   Gguf   Llama   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF 

WizardCoder Python 7B V1.0 GGUF Benchmarks

LLME Score: 0.16409
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardCoder Python 7B V1.0 GGUF (second-state/WizardCoder-Python-7B-v1.0-GGUF)

WizardCoder Python 7B V1.0 GGUF Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
Quantized model provided by Second State Inc. Offers various quantization levels for different balance between size and quality loss.
LLM NameWizardCoder Python 7B V1.0 GGUF
Repository 🤗https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF 
Model CreatorWizardLM
Base Model(s)  WizardLM/WizardCoder-Python-7b-V1.0   WizardLM/WizardCoder-Python-7b-V1.0
Model Size7b
Required VRAM2.5 GB
Updated2024-12-23
Maintainersecond-state
Model Typellama
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than second-state/WizardCoder-Python-7B-v1.0-GGUF.

Rank the WizardCoder Python 7B V1.0 GGUF 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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Release v20241217
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