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Beecoder 220M Python by BEE-spoke-data

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Beecoder 220M Python Benchmarks

LLME Score: 0.18357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Beecoder 220M Python Parameters and Internals

LLM NameBeecoder 220M Python
Repository 🤗https://huggingface.co/BEE-spoke-data/beecoder-220M-python 
Base Model(s)  Smol Llama 220M GQA   BEE-spoke-data/smol_llama-220M-GQA
Model Size220m
Required VRAM0.4 GB
Updated2024-09-07
MaintainerBEE-spoke-data
Model Typellama
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typebfloat16
Beecoder 220M Python (BEE-spoke-data/beecoder-220M-python)

Best Alternatives to Beecoder 220M Python

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Context / RAM
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Likes
Smol Llama 220M GQA 32K Theta32K / 0.4 GB111
...l Llama 220M GQA 32K Theta Sft32K / 0.4 GB72
Saily 220B4K / 417 GB140520
Smol Llama 220M GQA2K / 0.4 GB237811
...mol Llama 220M GQA Fineweb Edu2K / 0.4 GB571
Smol Llama 220M Openhermes2K / 0.4 GB7165
Smol Llama 220M Open Instruct2K / 0.4 GB131
Smol Llama 220M Bees Internal2K / 0.4 GB91
Saily 220B GPTQ4K / 105.2 GB381
Saily 220B AWQ4K / 109.1 GB320
Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/beecoder-220M-python.

Rank the Beecoder 220M Python 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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Release v2024072803
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