From b4b50c82b3ea2f731052912e3edec388af39b8b2 Mon Sep 17 00:00:00 2001 From: Daniel Han Date: Sun, 28 Jan 2024 04:30:29 +1100 Subject: [PATCH] 1 more bug (#138) * faster saving & inference * Update llama.py * Update save.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update mistral.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * fast inference * Update llama.py * Update save.py * Update llama.py * Mistral correct RoPE scaling * Max sequence lengths * Apache 2 * fast_linear_forward * Update utils.py * Update utils.py * No print * Update utils.py * Update utils.py * inference * Update llama.py * Fast inference RoPE * Update llama.py * Update llama.py * RoPE * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * LoRA * Fast LoRA saving * Update llama.py * hidden_states * q_len == 1 * q_len issue * Update mistral.py * Update mistral.py * incorrect inference * Update to transformers 4.37 * Graceful FA2 error + torch 2.1.1 * Update mapper.py * Update pyproject.toml * Fix saving and bnb-4bit * Update fast_lora.py * Update fast_lora.py * remove patching * Update llama.py * Update llama.py * Update swiglu.py * Repatch * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update llama.py * Update fast_lora.py * Update llama.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update swiglu.py * Update fast_lora.py * Update swiglu.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update save.py * Update fast_lora.py * Update utils.py * Update llama.py * Update fast_lora.py * Update swiglu.py * Update save.py * Update save.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Revert "Update llama.py" This reverts commit 9c9dc55bef7e71960bd48941e987e8b6239d6783. * Update llama.py * Works? * Update pyproject.toml * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Swiglu * Update swiglu.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update swiglu.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * attention_mask * Update llama.py * Update llama.py * labels * Update mistral.py * Update llama.py * attention mask * Update save.py * Update save.py --- unsloth/save.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/unsloth/save.py b/unsloth/save.py index 471897c0ad..744ec48327 100644 --- a/unsloth/save.py +++ b/unsloth/save.py @@ -80,7 +80,8 @@ def _merge_lora(layer, name): if quant_state is not None: dtype = quant_state.dtype if type(quant_state) is not list else quant_state[2] W = fast_dequantize(W, quant_state) - pass + else: + dtype = W.dtype W = W.to(torch.float32).t() if A is not None: