DeciLM 7B Instruct GGUF by Deci

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Q8   Quantized   Region:us

DeciLM 7B Instruct GGUF Benchmarks

DeciLM 7B Instruct GGUF (Deci/DeciLM-7B-instruct-GGUF)
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DeciLM 7B Instruct GGUF Parameters and Internals

Model Type 
Instruction-following, Text generation
Additional Notes 
The model is optimized for usage with the llama.cpp codebase.
Input Output 
Input Format:
Chat template with prompt
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Use INT8 quantized GGUF checkpoint for optimal performance on CPUs
LLM NameDeciLM 7B Instruct GGUF
Repository ๐Ÿค—https://huggingface.co/Deci/DeciLM-7B-instruct-GGUF 
Base Model(s)  DeciLM 7B Instruct   Deci/DeciLM-7B-instruct
Model Size7b
Required VRAM7.5 GB
Updated2025-08-19
MaintainerDeci
Model Typellama
Instruction-BasedYes
Model Files  14.2 GB   28.4 GB   7.5 GB
GGUF QuantizationYes
Quantization Typegguf|q8
Model ArchitectureDeciLMForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Deci/DeciLM-7B-instruct-GGUF.

Rank the DeciLM 7B Instruct GGUF 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 v20241124