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continued cleanup and documentation

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This commit is contained in:
Dan Saunders
2025-01-08 19:15:03 +00:00
parent 929ee15cc3
commit 6e72baf287
42 changed files with 280 additions and 300 deletions
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12
tests/e2e/test_mixtral.py
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@@ -9,8 +9,8 @@ import unittest
import torch
from transformers.utils import is_torch_bf16_gpu_available
from axolotl.cli.datasets import load_datasets
from axolotl.common.cli import TrainerCliArgs
from axolotl.common.datasets import load_datasets
from axolotl.train import train
from axolotl.utils.config import normalize_config
from axolotl.utils.dict import DictDefault
@@ -73,7 +73,7 @@ class TestMixtral(unittest.TestCase):
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
model, _ = train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
model, _ = train(cfg=cfg, dataset_meta=dataset_meta)
assert (
model.base_model.model.model.layers[0].block_sparse_moe.gate.weight.dtype
== torch.float32
@@ -127,7 +127,7 @@ class TestMixtral(unittest.TestCase):
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
model, _ = train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
model, _ = train(cfg=cfg, dataset_meta=dataset_meta)
assert (
model.base_model.model.model.layers[0].block_sparse_moe.gate.weight.dtype
== torch.float32
@@ -184,7 +184,7 @@ class TestMixtral(unittest.TestCase):
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
model, _ = train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
model, _ = train(cfg=cfg, dataset_meta=dataset_meta)
assert (
model.base_model.model.model.layers[0].block_sparse_moe.gate.weight.dtype
== torch.float32
@@ -241,7 +241,7 @@ class TestMixtral(unittest.TestCase):
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
model, _ = train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
model, _ = train(cfg=cfg, dataset_meta=dataset_meta)
assert (
model.base_model.model.model.layers[0].block_sparse_moe.gate.weight.dtype
== torch.float32
@@ -285,5 +285,5 @@ class TestMixtral(unittest.TestCase):
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)