Summary 0.1 is an open-source language model by MahmoudIbrahim. Features: 354.5m LLM, VRAM: 0.7GB, Context: 125K, LLM Explorer Score: 0.32.
Base model:finetune:mahmoudibr... Base model:mahmoudibrahim/summ... Conversational Endpoints compatible Generated from trainer Lfm2 Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/MahmoudIbrahim/Summary-0.1
Summary 0.1 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)
Summary 0.1 Parameters and Internals
| LLM Name | Summary 0.1 |
| Repository 🤗 | https://huggingface.co/MahmoudIbrahim/Summary-0.1 |
| Model Name | Summary-0.1 |
| Base Model(s) | |
| Model Size | 354.5m |
| Required VRAM | 0.7 GB |
| Updated | 2026-04-12 |
| Maintainer | MahmoudIbrahim |
| Model Type | lfm2 |
| Model Files | |
| Model Architecture | Lfm2ForCausalLM |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.54.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Rank the Summary 0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a