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Deepseek Coder 7B Instruct V1.5 6.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Deepseek Coder 7B Instruct V1.5 6.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible   Codegen   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors

Deepseek Coder 7B Instruct V1.5 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17514
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 6.0bpw H6 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 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/deepseek-coder-7b-instruct-v1.5-6.0bpw-h6-exl2 
Model Size7b
Required VRAM5.7 GB
Updated2024-11-21
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  5.7 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
Deepseek Coder 7B Instruct V1.5 6.0bpw H6 EXL2 (LoneStriker/deepseek-coder-7b-instruct-v1.5-6.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/deepseek-coder-7b-instruct-v1.5-6.0bpw-h6-exl2.

Rank the Deepseek Coder 7B Instruct V1.5 6.0bpw H6 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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Release v20241110
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