liminerity/Blur-7b-v1.22

Full fine-tune vs Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp. Fine-tune: 100% of the weights changed, across 32 of 32 layers.

Tensors changed: Embeddings 1/1, Norms 65/65, MLP 96/96, Attention 128/128, lm_head 1/1

2 derivatives checked

• mradermacher/Blur-7b-v1.22-i1-GGUF: Quantization
• mradermacher/Blur-7b-v1.22-GGUF: Same weights, converted

On the Hub · Downloads on Model Pulse