Deepseek Coder 1.3B Base Ov Int8 by Intel

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  Arxiv:2401.14196   Autotrain compatible   Codegen   En   Endpoints compatible   Llama   Openvino   Region:us

Deepseek Coder 1.3b Base Ov Int8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Coder 1.3B Base Ov Int8 (Intel/deepseek-coder-1.3b_base_ov_int8)

Deepseek Coder 1.3B Base Ov Int8 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
Code Completion, Code Insertion, Repository Level Code Completion
Additional Notes 
The model has been optimized and converted to OpenVino Intermediate Representation format using Optimum-cli with Int8 for better performance.
Supported Languages 
en (expert)
Training Details 
Data Sources:
high-quality project-level code corpus
Data Volume:
1 trillion tokens
Methodology:
Multi-Head Attention, fill-in-the-blank task
Context Length:
16000
Model Architecture:
Multi-Head Attention
LLM NameDeepseek Coder 1.3b Base Ov Int8
Repository 🤗https://huggingface.co/Intel/deepseek-coder-1.3b_base_ov_int8 
Model Size1.3b
Required VRAM1.4 GB
Updated2025-02-22
MaintainerIntel
Model Typellama
Model Files  1.4 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256

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Note: green Score (e.g. "73.2") means that the model is better than Intel/deepseek-coder-1.3b_base_ov_int8.

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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 v20241227