Midm 2.0 Mini Instruct is an open-source language model by K-intelligence. Features: 2.3b LLM, VRAM: 4.6GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.26.
Conversational En Endpoints compatible Instruct K-intelligence Ko Kt Llama Mi:dm Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/K-intelligence/Midm-2.0-Mini-Instruct
Midm 2.0 Mini Instruct 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)
Midm 2.0 Mini Instruct Parameters and Internals
| LLM Name | Midm 2.0 Mini Instruct |
| Repository 🤗 | https://huggingface.co/K-intelligence/Midm-2.0-Mini-Instruct |
| Model Size | 2.3b |
| Required VRAM | 4.6 GB |
| Updated | 2026-04-14 |
| Maintainer | K-intelligence |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ko |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 131392 |
| Torch Data Type | bfloat16 |
Rank the Midm 2.0 Mini Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a