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Deepseek Coder 1.3B Base GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Codegen   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-coder-1.3b-base-GPTQ 

Deepseek Coder 1.3B Base GPTQ Benchmarks

LLME Score: 0.12406
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 GPTQ (TheBloke/deepseek-coder-1.3b-base-GPTQ)
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Deepseek Coder 1.3B Base GPTQ Parameters and Internals

Model Type 
deepseek
Use Cases 
Areas:
research, commercial applications
Applications:
code completion, project-level code completion, code infilling
Primary Use Cases:
Advanced Code Completion, Repository Level Code Completion
Additional Notes 
Quantization performed by TheBloke with multiple GPTQ parameter permutations provided
Supported Languages 
English (High proficiency), Chinese (High proficiency)
Training Details 
Data Sources:
project-level code corpus
Data Volume:
2 trillion tokens
Context Length:
16000
Model Architecture:
Multi-Head Attention
LLM NameDeepseek Coder 1.3B Base GPTQ
Repository 🤗https://huggingface.co/TheBloke/deepseek-coder-1.3b-base-GPTQ 
Model NameDeepseek Coder 1.3B Base
Model CreatorDeepSeek
Base Model(s)  deepseek-ai/deepseek-coder-1.3b-base   deepseek-ai/deepseek-coder-1.3b-base
Model Size1.3b
Required VRAM0.9 GB
Updated2025-07-31
MaintainerTheBloke
Model Typedeepseek
Model Files  0.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence 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 TheBloke/deepseek-coder-1.3b-base-GPTQ.

Rank the Deepseek Coder 1.3B Base GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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