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Mojo Coder 1B by mcysqrd

 »  All LLMs  »  mcysqrd  »  Mojo Coder 1B   URL Share it on

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  Merged Model   Autotrain compatible   Codegen   Dataset:mcysqrd/mojo code   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mcysqrd/mojo-coder-1B 

Mojo Coder 1B Benchmarks

LLME Score: 0.16313
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mojo Coder 1B (mcysqrd/mojo-coder-1B)

Mojo Coder 1B Parameters and Internals

Model Type 
FIM, co-pilot style
Use Cases 
Primary Use Cases:
FIM co-pilot style usage
Limitations:
Not yet suitable for Q&A; tasks as stated
Additional Notes 
User comments are encouraged to improve future versions.
Training Details 
Data Sources:
mcysqrd/mojo_code
Methodology:
FIM training
Release Notes 
Version:
Alpha
Notes:
Trained only for FIM co-pilot style usage; future versions to include Q&A; functionality and better performance.
LLM NameMojo Coder 1B
Repository 🤗https://huggingface.co/mcysqrd/mojo-coder-1B 
Merged ModelYes
Model Size1b
Required VRAM2.7 GB
Updated2024-12-21
Maintainermcysqrd
Model Typellama
Model Files  2.7 GB
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mcysqrd/mojo-coder-1B.

Rank the Mojo Coder 1B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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