Nandi Mini 150M is an open-source language model by Rta-AILabs. Features: 150m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0.
Model Card on HF 🤗: https://huggingface.co/FrontiersMind/Nandi-Mini-150M
Nandi Mini 150M Parameters and Internals
| LLM Name | Nandi Mini 150M |
| Repository 🤗 | https://huggingface.co/FrontiersMind/Nandi-Mini-150M |
| Model Size | 150m |
| Required VRAM | 0.3 GB |
| Updated | 2026-05-04 |
| Maintainer | Rta-AILabs |
| Model Type | nandi |
| Model Files | |
| Supported Languages | en hi mr ta te kn ml bn pa gu or |
| Model Architecture | NandiForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Tokenizer Class | NandiTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to Nandi Mini 150M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nandi Mini 150M | 2K / 0.3 GB | 13479 | 129 |
| Nandi Mini 150M Tool Calling | 2K / 0.3 GB | 6313 | 37 |
| Nandi Mini 150M Tool Calling | 2K / 0.3 GB | 344 | 23 |
Note: green Score (e.g. "73.2") means that the model is better than FrontiersMind/Nandi-Mini-150M .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a