CodeGoat24/UnifiedReward-Edit-qwen-32b

Full fine-tune vs CodeGoat24/UnifiedReward-2.0-qwen-32b. Fine-tune: 94% of the weights changed, across 64 of 64 layers.

Tensors changed: Attention 448/576, MLP 192/388, Norms 128/194, Embeddings 0/2, lm_head 1/1

2 derivatives checked

• mradermacher/UnifiedReward-Edit-qwen-32b-i1-GGUF: Quantization (fewer layers)
• mradermacher/UnifiedReward-Edit-qwen-32b-GGUF: Quantization (fewer layers)

On the Hub · Downloads on Model Pulse