Ling Flash Base 2.0 is an open-source language model by inclusionAI. Features: 106.2b LLM, VRAM: 212GB, Context: 32K, License: mit, LLM Explorer Score: 0.24.
Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ling-flash-base-2.0
Ling Flash Base 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)
Ling Flash Base 2.0 Parameters and Internals
| LLM Name | Ling Flash Base 2.0 |
| Repository 🤗 | https://huggingface.co/inclusionAI/Ling-flash-base-2.0 |
| Base Model(s) | |
| Model Size | 106.2b |
| Required VRAM | 212 GB |
| Updated | 2026-04-15 |
| 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 |
Rank the Ling Flash Base 2.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a