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WizardCoder Python 13B V1.0 GGML by TheBloke

 »  All LLMs  »  TheBloke  »  WizardCoder Python 13B V1.0 GGML   URL Share it on

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WizardCoder Python 13B V1.0 GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.7GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2303.08774   Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583 Base model:finetune:wizardlmte... Base model:wizardlmteam/wizard...   Code   Ggml   Llama   Model-index   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GGML 

WizardCoder Python 13B V1.0 GGML Benchmarks

LLME Score: 0.08956
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardCoder Python 13B V1.0 GGML (TheBloke/WizardCoder-Python-13B-V1.0-GGML)
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WizardCoder Python 13B V1.0 GGML Parameters and Internals

Model Type 
llama
Input Output 
Input Format:
"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:"
LLM NameWizardCoder Python 13B V1.0 GGML
Repository 🤗https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GGML 
Model CreatorWizardLM
Base Model(s)  WizardLM/WizardCoder-Python-13B-V1.0   WizardLM/WizardCoder-Python-13B-V1.0
Model Size13b
Required VRAM5.7 GB
Updated2026-05-13
MaintainerTheBloke
Model Typellama
Model Files  5.7 GB   7.1 GB   6.5 GB   5.9 GB   7.3 GB   8.1 GB   8.1 GB   7.6 GB   8.9 GB   9.8 GB   9.4 GB   9.1 GB   10.8 GB   13.8 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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...rca Platypus WizardLM 13B GGML0K / 5.5 GB126
...penBuddy Llama2 13B V11.1 GGML0K / 5.5 GB65
Stheno L2 13B GGML0K / 5.5 GB145
Speechless Llama2 13B GGML0K / 5.5 GB122
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WizardCoder-Python-13B-V1.0-GGML.

Rank the WizardCoder Python 13B V1.0 GGML Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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