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Nandi Mini V1.1 600M Early Checkpoint 250GT by FrontiersMind

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Nandi Mini V1.1 600M Early Checkpoint 250GT is an open-source language model by FrontiersMind. Features: 600m LLM, VRAM: 1.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.38.

  Bn   Custom code   En   Gu   Hi   Kn   Ml   Mr   Nandi   Or   Pa   Region:us   Safetensors   Ta   Te
Model Card on HF 🤗: https://huggingface.co/FrontiersMind/Nandi-Mini-V1.1-600M-Early-Checkpoint-250GT 

Nandi Mini V1.1 600M Early Checkpoint 250GT Benchmarks

LLME Score: 0.37972
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nandi Mini V1.1 600M Early Checkpoint 250GT (FrontiersMind/Nandi-Mini-V1.1-600M-Early-Checkpoint-250GT)
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Nandi Mini V1.1 600M Early Checkpoint 250GT Parameters and Internals

LLM NameNandi Mini V1.1 600M Early Checkpoint 250GT
Repository 🤗https://huggingface.co/FrontiersMind/Nandi-Mini-V1.1-600M-Early-Checkpoint-250GT 
Model Size600m
Required VRAM1.3 GB
Updated2026-05-28
MaintainerFrontiersMind
Model Typenandi
Model Files  1.3 GB
Supported Languagesen hi mr ta te kn ml bn pa gu or
Model ArchitectureNandiForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Tokenizer ClassNandiTokenizer
Padding Token<|pad|>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than FrontiersMind/Nandi-Mini-V1.1-600M-Early-Checkpoint-250GT.

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