Ring Mini 2.0 is an open-source language model by inclusionAI. Features: 16.3b LLM, VRAM: 32.5GB, Context: 32K, License: mit, LLM Explorer Score: 0.27.
Arxiv:2510.18855 Bailing moe Base model:finetune:inclusiona... Base model:inclusionai/ling-mi... Conversational Custom code Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ring-mini-2.0
Ring Mini 2.0 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)
Ring Mini 2.0 Parameters and Internals
| LLM Name | Ring Mini 2.0 |
| Repository 🤗 | https://huggingface.co/inclusionAI/Ring-mini-2.0 |
| Base Model(s) | |
| Model Size | 16.3b |
| Required VRAM | 32.5 GB |
| Updated | 2026-04-11 |
| Maintainer | inclusionAI |
| Model Type | bailing_moe |
| Model Files | |
| Model Architecture | BailingMoeV2ForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.52.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 157184 |
| Torch Data Type | bfloat16 |
Best Alternatives to Ring Mini 2.0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ling Mini 2.0 | 32K / 32.4 GB | 16409 | 190 |
Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ring-mini-2.0 .
Rank the Ring Mini 2.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a