Retnet Xsum is an open-source language model by kaizerBox. Features: 28.1m LLM, VRAM: 0.1GB, LLM Explorer Score: 0.1.
Model Card on HF 🤗: https://huggingface.co/kaizerBox/retnet-xsum
Retnet Xsum 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)
Retnet Xsum Parameters and Internals
| LLM Name | Retnet Xsum |
| Repository 🤗 | https://huggingface.co/kaizerBox/retnet-xsum |
| Model Size | 28.1m |
| Required VRAM | 0.1 GB |
| Updated | 2026-03-22 |
| Maintainer | kaizerBox |
| Model Type | retnet |
| Model Files | |
| Model Architecture | RetNetForCausalLM |
| Model Max Length | 1024 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 50259 |
| Torch Data Type | float32 |
Rank the Retnet Xsum 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! 🌟
What open-source LLMs or SLMs are you in search of? 52473 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a