Docsgpt 7B Mistral GGUF by TheBloke

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Base model:arc53/docsgpt-7b-mi... Base model:quantized:arc53/doc...   Closed-qa   Context   Conversational   Gguf   Mistral   Quantized   Rag   Region:us

Docsgpt 7B Mistral GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Docsgpt 7B Mistral GGUF (TheBloke/docsgpt-7B-mistral-GGUF)
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Docsgpt 7B Mistral GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
DocsGPT is optimized for Documentation (RAG optimised): Specifically fine-tuned for providing answers that are based on context, making it particularly useful for developers and technical support teams.
Training Details 
Methodology:
Lora fine tuning
Input Output 
Input Format:
### Instruction {prompt} ### Context {context} ### Answer
LLM NameDocsgpt 7B Mistral GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/docsgpt-7B-mistral-GGUF 
Model NameDocsGPT 7B Mistral
Model CreatorArc53
Base Model(s)  Docsgpt 7B Mistral   Arc53/docsgpt-7b-mistral
Model Size7b
Required VRAM3.1 GB
Updated2025-07-25
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/docsgpt-7B-mistral-GGUF.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124