Alphacode MALI 11B Slowtest by Alphacode-AI

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Alphacode MALI 11B Slowtest Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alphacode MALI 11B Slowtest (Alphacode-AI/Alphacode-MALI-11B_slowtest)

Alphacode MALI 11B Slowtest Parameters and Internals

Model Type 
text-generation
Supported Languages 
ko (native)
Training Details 
Data Sources:
Our In House CustomData
Methodology:
fine-tuning
Hardware Used:
A100x8
LLM NameAlphacode MALI 11B Slowtest
Repository ๐Ÿค—https://huggingface.co/Alphacode-AI/Alphacode-MALI-11B_slowtest 
Model Size11b
Required VRAM21.8 GB
Updated2024-12-22
MaintainerAlphacode-AI
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   2.1 GB: 5-of-5
Supported Languagesko
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Alphacode-AI/Alphacode-MALI-11B_slowtest.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217