Deepseek Coder 7B Instruct V1.5 8.0bpw H8 EXL2 by LoneStriker

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Deepseek Coder 7B Instruct V1.5 8.0bpw H8 EXL2 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 7B Instruct V1.5 8.0bpw H8 EXL2 (LoneStriker/deepseek-coder-7b-instruct-v1.5-8.0bpw-h8-exl2)

Deepseek Coder 7B Instruct V1.5 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation, inference
Training Details 
Data Volume:
2T tokens for pre-training and 2B tokens for fine-tuning
Methodology:
Pre-training with a window size of 4K and next token prediction; fine-tuning on instruction data
Context Length:
4096
LLM NameDeepseek Coder 7B Instruct V1.5 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/deepseek-coder-7b-instruct-v1.5-8.0bpw-h8-exl2 
Model Size7b
Required VRAM7.3 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  7.3 GB
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|EOT|>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/deepseek-coder-7b-instruct-v1.5-8.0bpw-h8-exl2.

Rank the Deepseek Coder 7B Instruct V1.5 8.0bpw H8 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217