MiniMind2 is an open-source language model by jingyaogong. Features: 104m LLM, VRAM: 0.2GB, Context: 32K, LLM Explorer Score: 0.2.
Model Card on HF 🤗: https://huggingface.co/jingyaogong/MiniMind2
MiniMind2 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)
MiniMind2 Parameters and Internals
| LLM Name | MiniMind2 |
| Repository 🤗 | https://huggingface.co/jingyaogong/MiniMind2 |
| Model Size | 104m |
| Required VRAM | 0.2 GB |
| Updated | 2026-04-13 |
| Maintainer | jingyaogong |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.57.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 6400 |
| Torch Data Type | bfloat16 |
Rank the MiniMind2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a