Molexar 10M Base is an open-source language model by fairydance. Features: 10m LLM, VRAM: 0.1GB, Context: 0.3K, License: mit, LLM Explorer Score: 0.28.
Chemistry Drug-discovery Fragment-selfies Molecular-foundation-model Molecule-generation Molexar Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/fairydance/molexar-10m-base
Molexar 10M Base 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)
Molexar 10M Base Parameters and Internals
| LLM Name | Molexar 10M Base |
| Repository 🤗 | https://huggingface.co/fairydance/molexar-10m-base |
| Model Size | 10m |
| Required VRAM | 0.1 GB |
| Updated | 2026-06-26 |
| Maintainer | fairydance |
| Model Type | molexar |
| Model Files | |
| Model Architecture | MolexarForCausalLM |
| License | mit |
| Context Length | 256 |
| Model Max Length | 256 |
| Transformers Version | 5.8.0 |
| Tokenizer Class | MolexarTokenizerFast |
| Padding Token | <PAD> |
| Vocabulary Size | 127 |
Rank the Molexar 10M Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a