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WizardCoder Python 34B V1.0 GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  WizardCoder Python 34B V1.0 GGUF   URL Share it on

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WizardCoder Python 34B V1.0 GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 14.2GB, License: llama2, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2303.08774   Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583 Base model:quantized:wizardlmt... Base model:wizardlmteam/wizard...   Code   Gguf   Llama   Model-index   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/WizardCoder-Python-34B-V1.0-GGUF 

WizardCoder Python 34B V1.0 GGUF Benchmarks

LLME Score: 0.11731
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardCoder Python 34B V1.0 GGUF (TheBloke/WizardCoder-Python-34B-V1.0-GGUF)
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WizardCoder Python 34B V1.0 GGUF Parameters and Internals

Model Type 
text-generation
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameWizardCoder Python 34B V1.0 GGUF
Repository 🤗https://huggingface.co/TheBloke/WizardCoder-Python-34B-V1.0-GGUF 
Model CreatorWizardLM
Base Model(s)  WizardLM/WizardCoder-Python-34B-V1.0   WizardLM/WizardCoder-Python-34B-V1.0
Model Size34b
Required VRAM14.2 GB
Updated2026-05-09
MaintainerTheBloke
Model Typellama
Model Files  14.2 GB   17.8 GB   16.3 GB   14.6 GB   19.1 GB   20.2 GB   19.1 GB   23.2 GB   23.8 GB   23.2 GB   27.7 GB   35.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WizardCoder-Python-34B-V1.0-GGUF.

Rank the WizardCoder Python 34B V1.0 GGUF 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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