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Ct2fast WizardCoder 15B V1.0 by michaelfeil

 »  All LLMs  »  michaelfeil  »  Ct2fast WizardCoder 15B V1.0   URL Share it on

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  Ctranslate2   Endpoints compatible   Float16   Int8   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-WizardCoder-15B-V1.0 

Ct2fast WizardCoder 15B V1.0 Benchmarks

LLME Score: 0.08894
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast WizardCoder 15B V1.0 (michaelfeil/ct2fast-WizardCoder-15B-V1.0)
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Ct2fast WizardCoder 15B V1.0 Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
research
Applications:
code-related tasks
Primary Use Cases:
code generation
Limitations:
Cannot guarantee output accuracy; not for commercial use
Considerations:
Usage influenced by instructive coding tasks
Additional Notes 
Quantized version reduces memory by 2x-4x, supports int8/float16 on CUDA or CPU.
Training Details 
Data Sources:
evolved code instructions
Data Volume:
78k instructions
Methodology:
Evol-Instruct method, fine-tuning with modified code
Context Length:
2048
Model Architecture:
Modified Transformer
Input Output 
Input Format:
code-related instruction prompts
Accepted Modalities:
text
Output Format:
generated code text
Release Notes 
Version:
v1.0
Date:
2023-06-15
Notes:
First quantized version
LLM NameCt2fast WizardCoder 15B V1.0
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-WizardCoder-15B-V1.0 
Model Size15b
Required VRAM15.6 GB
Updated2025-09-23
Maintainermichaelfeil
Model Files  15.6 GB
Model ArchitectureAutoModel
Licensebigcode-openrail-m
Model Max Length2048
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152

Best Alternatives to Ct2fast WizardCoder 15B V1.0

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Context / RAM
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WizardCoder 15B 1.0 GGML0K / 10.7 GB16115
Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-WizardCoder-15B-V1.0.

Rank the Ct2fast WizardCoder 15B V1.0 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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