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Datascience Coder 1.3B by ed001

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  Autotrain compatible   Code   Codegen   Conversational   Data science Dataset:ed001/ds-coder-instruc...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ed001/datascience-coder-1.3b 

Datascience Coder 1.3B Benchmarks

LLME Score: 0.15562
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Datascience Coder 1.3B (ed001/datascience-coder-1.3b)

Datascience Coder 1.3B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Coding, Data Science
Applications:
Assistance in coding for data science applications
Additional Notes 
Models available in 1.3b and 6.7b variants
Supported Languages 
en (High)
Training Details 
Data Sources:
ds-coder-instruct-v1 dataset
Methodology:
Fine-tuning with instruction prompts
Context Length:
4096
Input Output 
Input Format:
Instruction prompts
Accepted Modalities:
text
Output Format:
text
LLM NameDatascience Coder 1.3B
Repository 🤗https://huggingface.co/ed001/datascience-coder-1.3b 
Model Size1.3b
Required VRAM2.7 GB
Updated2025-02-22
Maintainered001
Model Typellama
Instruction-BasedYes
Model Files  2.7 GB   2.7 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<|EOT|>
Vocabulary Size32256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ed001/datascience-coder-1.3b.

Rank the Datascience Coder 1.3B 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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