Docsgpt 40B Falcon by Arc53

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Docsgpt 40B Falcon Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Docsgpt 40B Falcon (Arc53/docsgpt-40b-falcon)
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Docsgpt 40B Falcon Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
documentation assistance, developer support, technical support
Limitations:
hallucination in response generation
Additional Notes 
Optimized for documentation-based query responses.
Supported Languages 
en (fluent)
Training Details 
Data Volume:
50k high quality examples
Methodology:
lora fine tuning process
Training Time:
4 days
Hardware Used:
8xA10G GPU (ml.g5.48xlarge on AWS)
Input Output 
Input Format:
### Instruction (where the question goes) ### Context (your document retrieval + system instructions) ### Answer
Accepted Modalities:
text
Output Format:
text
LLM NameDocsgpt 40B Falcon
Repository ๐Ÿค—https://huggingface.co/Arc53/docsgpt-40b-falcon 
Model Size40b
Required VRAM82.5 GB
Updated2025-08-21
MaintainerArc53
Model TypeRefinedWeb
Model Files  9.5 GB: 1-of-9   9.5 GB: 2-of-9   9.5 GB: 3-of-9   9.5 GB: 4-of-9   9.5 GB: 5-of-9   9.5 GB: 6-of-9   9.5 GB: 7-of-9   9.5 GB: 8-of-9   6.5 GB: 9-of-9
Supported Languagesen
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.32.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Arc53/docsgpt-40b-falcon.

Rank the Docsgpt 40B Falcon 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