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Wizardcoder 1B Merged by epinnock

 »  All LLMs  »  epinnock  »  Wizardcoder 1B Merged   URL Share it on

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  Autotrain compatible   Codegen Dataset:nickrosh/evol-instruct...   En   Endpoints compatible   Gpt bigcode   Instruct   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/epinnock/wizardcoder-1b-merged 

Wizardcoder 1B Merged Benchmarks

LLME Score: 0.09792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wizardcoder 1B Merged (epinnock/wizardcoder-1b-merged)
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Wizardcoder 1B Merged Parameters and Internals

Model Type 
causal_lm, Fill-in-the-Middle
Use Cases 
Areas:
source code generation, multilingual programming
Applications:
software development
Primary Use Cases:
generating and reconstructing code snippets
Limitations:
Inconsistent code quality, potential bugs, and exploits
Considerations:
Consider verifying generated code manually
Additional Notes 
Pretraining dataset filtered for permissive licenses; offers a search index for pretraining data to apply proper attribution.
Supported Languages 
en (high)
Training Details 
Data Sources:
nickrosh/Evol-Instruct-Code-80k-v1
Methodology:
LoRa finetuning on Evol-Instruct-Code-80k-v1 dataset
Context Length:
2048
Training Time:
2 days
Hardware Used:
8 A5000 GPUs
Model Architecture:
StarCoder GPT-2 model with multi-query attention and Fill-in-the-Middle objective with LoRA layers merged
Input Output 
Input Format:
Text encoded as input tensors
Accepted Modalities:
text
Output Format:
Text encoded as output tensors
Performance Tips:
Use GPUs like A5000 for optimal performance
LLM NameWizardcoder 1B Merged
Repository 🤗https://huggingface.co/epinnock/wizardcoder-1b-merged 
Model Size1b
Required VRAM2.3 GB
Updated2025-09-23
Maintainerepinnock
Model Typegpt_bigcode
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.31.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat16
Activation Functiongelu_pytorch_tanh

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Note: green Score (e.g. "73.2") means that the model is better than epinnock/wizardcoder-1b-merged.

Rank the Wizardcoder 1B Merged 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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