Docsgpt 7B Mistral AWQ by TheBloke

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  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

Docsgpt 7B Mistral AWQ 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 AWQ Parameters and Internals

LLM NameDocsgpt 7B Mistral AWQ
Repository ๐Ÿค—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
Updated2024-10-18
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
Docsgpt 7B Mistral AWQ (TheBloke/docsgpt-7B-mistral-AWQ)

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803