inclusionAI/Ring-mini-sparse-2.0-exp

Full fine-tune vs inclusionAI/Ling-mini-base-2.0-20T. Fine-tune: 100% of the weights changed, across 20 of 20 layers.

Tensors changed: MLP 2725/2729, Embeddings 1/1, lm_head 1/1, Attention 40/40, Norms 81/81

3 derivatives checked

• mradermacher/Ring-mini-sparse-2.0-exp-i1-GGUF: Quantization
• mradermacher/Ring-mini-sparse-2.0-exp-GGUF: Quantization
• DevQuasar/inclusionAI.Ring-mini-sparse-2.0-exp-GGUF: Same weights, converted

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