Bart Base Summarization is an open-source language model by harsharajkumar273. Features: 139.5m LLM, VRAM: 0.6GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.27.
Bart Base model:facebook/bart-base Base model:finetune:facebook/b... Dataset:custom En Region:us Research-paper Safetensors Seq2seq Summarization
Model Card on HF 🤗: https://huggingface.co/harsharajkumar273/Bart-Base-Summarization
Bart Base Summarization Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Bart Base Summarization Parameters and Internals
| LLM Name | Bart Base Summarization |
| Repository 🤗 | https://huggingface.co/harsharajkumar273/Bart-Base-Summarization |
| Base Model(s) | |
| Model Size | 139.5m |
| Required VRAM | 0.6 GB |
| Updated | 2026-04-03 |
| Maintainer | harsharajkumar273 |
| Model Type | bart |
| Model Files | |
| Supported Languages | en |
| Model Architecture | BartForConditionalGeneration |
| License | apache-2.0 |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | BartTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 50265 |
| Torch Data Type | float32 |
| Activation Function | gelu |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a