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Docsgpt 7B Mistral AWQ by TheBloke

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Docsgpt 7B Mistral AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible   Awq Base model:arc53/docsgpt-7b-mi... Base model:quantized:arc53/doc...   Closed-qa   Context   Conversational   Mistral   Quantized   Rag   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/docsgpt-7B-mistral-AWQ 

Docsgpt 7B Mistral AWQ Benchmarks

LLME Score: 0.11207
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 AWQ (TheBloke/docsgpt-7B-mistral-AWQ)
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Docsgpt 7B Mistral AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
Documentation, Technical support
Primary Use Cases:
RAG optimized for providing context-based answers.
Additional Notes 
Optimized for Documentation (RAG optimized): Specifically fine-tuned for providing answers based on context, making it particularly useful for developers and technical support teams.
Training Details 
Methodology:
Lora fine tuning process, fine-tuned on top of zephyr-7b-beta
Input Output 
Input Format:
### Instruction {prompt} ### Context {{context}} ### Answer
Accepted Modalities:
text
LLM NameDocsgpt 7B Mistral AWQ
Repository 🤗https://huggingface.co/TheBloke/docsgpt-7B-mistral-AWQ 
Model NameDocsGPT 7B Mistral
Model CreatorArc53
Base Model(s)  Docsgpt 7B Mistral   Arc53/docsgpt-7b-mistral
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Docsgpt 7B Mistral AWQ 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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