XpertGPT BabyLM2026 Strict Small is an open-source language model by SRJ5035. Features: 56.8m LLM, VRAM: 0.2GB, License: cc-by-nc-4.0, LLM Explorer Score: 0.36.
Babylm Babylm-2026 Custom code En Mixture-of-experts Msit Msit gptbert Pytorch Region:us Safetensors Xpertgpt
Model Card on HF 🤗: https://huggingface.co/SRJ5035/XpertGPT-BabyLM2026-Strict-Small
XpertGPT BabyLM2026 Strict Small 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)
XpertGPT BabyLM2026 Strict Small Parameters and Internals
| LLM Name | XpertGPT BabyLM2026 Strict Small |
| Repository 🤗 | https://huggingface.co/SRJ5035/XpertGPT-BabyLM2026-Strict-Small |
| Model Size | 56.8m |
| Required VRAM | 0.2 GB |
| Updated | 2026-07-12 |
| Maintainer | SRJ5035 |
| Model Type | msit_gptbert |
| Model Files | |
| Supported Languages | en |
| Model Architecture | XpertGPTForCausalLM |
| License | cc-by-nc-4.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | [PAD] |
| Vocabulary Size | 16384 |
Rank the XpertGPT BabyLM2026 Strict Small Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a