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Merge branch 'ml-explore:main' into adding-support-for-mamba2

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Gökdeniz Gülmez
2025-01-21 10:57:21 +01:00
committed by GitHub
parent e96c17d061 07f88f8057
commit be4bc7a090
6 changed files with 267 additions and 5 deletions
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8
llms/mlx_lm/tuner/trainer.py
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@@ -159,8 +159,8 @@ def evaluate(
ntokens += toks
mx.eval(all_losses, ntokens)
all_losses = mx.distributed.all_sum(all_losses)
ntokens = mx.distributed.all_sum(ntokens)
all_losses = mx.distributed.all_sum(all_losses, stream=mx.cpu)
ntokens = mx.distributed.all_sum(ntokens, stream=mx.cpu)
return (all_losses / ntokens).item()
@@ -272,9 +272,9 @@ def train(
if it % args.steps_per_report == 0 or it == args.iters:
stop = time.perf_counter()
train_loss = mx.distributed.all_sum(losses).item()
train_loss = mx.distributed.all_sum(losses, stream=mx.cpu).item()
train_loss /= steps * mx.distributed.init().size()
n_tokens = mx.distributed.all_sum(n_tokens).item()
n_tokens = mx.distributed.all_sum(n_tokens, stream=mx.cpu).item()
learning_rate = optimizer.learning_rate.item()
it_sec = args.steps_per_report / (stop - start)
tokens_sec = float(n_tokens) / (stop - start)

1
llms/mlx_lm/tuner/utils.py
View File

@@ -100,6 +100,7 @@ def linear_to_lora_layers(
"minicpm",
"deepseek",
"olmo2",
"internlm3",
]:
keys = set(["self_attn.q_proj", "self_attn.v_proj"])
if model.model_type in ["mixtral", "phimoe"]: