Nandi Mini 600M Early Checkpoint is an open-source language model by FrontiersMind. Features: 600m LLM, VRAM: 1.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.51.
Model Card on HF 🤗: https://huggingface.co/FrontiersMind/Nandi-Mini-600M-Early-Checkpoint
Nandi Mini 600M Early Checkpoint 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)
Nandi Mini 600M Early Checkpoint Parameters and Internals
| LLM Name | Nandi Mini 600M Early Checkpoint |
| Repository 🤗 | https://huggingface.co/FrontiersMind/Nandi-Mini-600M-Early-Checkpoint |
| Model Size | 600m |
| Required VRAM | 1.3 GB |
| Updated | 2026-05-18 |
| Maintainer | FrontiersMind |
| 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 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a