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Docsgpt 7B Falcon by Arc53

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Docsgpt 7B Falcon is an open-source language model by Arc53. Features: 7b LLM, VRAM: 13.8GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.09.

  Custom code   En   Endpoints compatible   Instruct   Refinedwebmodel   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Arc53/docsgpt-7b-falcon 

Docsgpt 7B Falcon Benchmarks

LLME Score: 0.08621
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Docsgpt 7B Falcon (Arc53/docsgpt-7b-falcon)
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Docsgpt 7B Falcon Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model is fine-tuned to provide answers based on documentation which is beneficial for developers and technical support teams.
Supported Languages 
en (high)
Training Details 
Data Volume:
50k high quality examples
Methodology:
lora fine tuning process
Training Time:
2 days
Hardware Used:
A10G GPU
Input Output 
Input Format:
### Instruction (where the question goes) ### Context (your document retrieval + system instructions) ### Answer
Accepted Modalities:
text
LLM NameDocsgpt 7B Falcon
Repository 🤗https://huggingface.co/Arc53/docsgpt-7b-falcon 
Model Size7b
Required VRAM13.8 GB
Updated2026-05-07
MaintainerArc53
Model TypeRefinedWebModel
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2
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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Vigogne Falcon 7B Instruct0K / 14.4 GB101
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Halcon 7B Instructions Es0K / 13.8 GB141
Note: green Score (e.g. "73.2") means that the model is better than Arc53/docsgpt-7b-falcon.

Rank the Docsgpt 7B Falcon Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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