Commit Graph

1890 Commits

Author SHA1 Message Date
Dan Saunders
fd5d5aecdc tests for runtime metrics telemetry and assoc. callback 2025-02-26 03:04:58 +00:00
Dan Saunders
3760175440 adding runtime metrics (cpu + gpu memory, steps/s, etc.) 2025-02-26 03:04:58 +00:00
Dan Saunders
7927abff90 updated sanitization logic, tests 2025-02-26 03:04:58 +00:00
Dan Saunders
ec36839316 update error file path sanitization function; adding more error tracking 2025-02-26 03:04:58 +00:00
Dan Saunders
3076b8df00 progress on telemetry: config load, process, model load, train start / end, error tracking 2025-02-26 03:04:58 +00:00
Dan Saunders
c50610375f updates 2025-02-26 03:04:58 +00:00
Dan Saunders
07ffd47f2b updates 2025-02-26 03:04:58 +00:00
Dan Saunders
76d951afd2 adding todo 2025-02-26 03:04:58 +00:00
Dan Saunders
5220e8ccf4 initial telemetry manager impl 2025-02-26 03:04:58 +00:00
NanoCode012
75cbd15301 Fix(doc): address missing doc changes (#2362)
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* fix: add multiple tips about eos_token masking

* fix: format dataset preprocessing doc

* Update docs/dataset-formats/conversation.qmd

Co-authored-by: salman <salman.mohammadi@outlook.com>

---------

Co-authored-by: salman <salman.mohammadi@outlook.com>
v0.7.1
2025-02-25 13:50:02 -05:00
NanoCode012
2efe1b4c09 Feat(doc): Reorganize documentation, fix broken syntax, update notes (#2348)
* feat(doc): organize docs, add to menu bar, fix broken formatting

* feat: add link to custom integrations

* feat: update readme for integrations to include citations and repo link

* chore: update lm_eval info

* chore: use fullname

* Update docs/cli.qmd per suggestion

Co-authored-by: Dan Saunders <danjsaund@gmail.com>

* feat: add sweep doc

* feat: add kd doc

* fix: remove toc

* fix: update deprecation

* feat: add more info about chat_template issues

* fix: heading level

* fix: shell->bash code block

* fix: ray link

* fix(doc): heading level, header links, formatting

* feat: add grpo docs

* feat: add style changes

* fix: wrong cli arg for lm-eval

* fix: remove old run method

* feat: load custom integration doc dynamically

* fix: remove old cli way

* fix: toc

* fix: minor formatting

---------

Co-authored-by: Dan Saunders <danjsaund@gmail.com>
2025-02-25 16:09:37 +07:00
NanoCode012
1110a37e21 feat: add deepseek_v3 sample packing (#2230) 2025-02-24 15:03:15 -05:00
Wing Lian
9850f42204 bump liger to 0.5.3 (#2353) 2025-02-24 12:40:54 -05:00
Matt Baker
00fc8109e4 Correctly reference mount paths (#2347)
* Correctly reference mount paths

* Also fix mount paths in lm_eval

* chore: lint

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-02-24 11:12:57 -05:00
Wing Lian
2d5826f544 Relicense the logprob KD loss functions as Apache 2.0 (#2358) 2025-02-23 12:31:35 -05:00
Wing Lian
a4170030ab don't install extraneous old version of pydantic in ci and make sre to run multigpu ci (#2355) 2025-02-21 22:06:29 -05:00
NanoCode012
bf842730a5 fix(doc): add missing auto_find_batch_size (#2339) [skip ci] 2025-02-21 11:56:38 +07:00
Wing Lian
1db6ad60a7 support for passing init_lora_weights to lora_config (#2352) 2025-02-20 22:56:34 -05:00
salman
29b366b2e1 Bumping 0.15.1 TRL version for GRPO+PEFT fix (#2344)
* bumping TRL version

* apply upstream fixes to our custom fix

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-02-20 22:56:04 -05:00
NanoCode012
b53a41372f feat: update transformers version to 4.49.0 (#2340) 2025-02-20 21:12:06 -05:00
Wing Lian
02f45e94be calculate sample length fixes and SFT splitting fixes (#2351)
* fix chat template splitting long samples across multiple rows

* make the preprocessing faster
2025-02-20 14:29:58 -05:00
Dan Saunders
954e192f38 quick formatting fix for LoRA optims doc (#2349) 2025-02-19 09:23:31 -05:00
Tobias
8dfadc2b3c Fix sample packing producing longer sequences than specified by sequence_len (#2332)
* Extend MultiPackBatchSampler test to include shorter sequence length and drop long sequences filter

* Fix get_dataset_lengths for datasets that were previously filtered (e.g., with drop_long_seq_in_dataset)

* Update src/axolotl/utils/samplers/utils.py

Fix get_dataset_lengths for datasets that do not have position_ids or length attributes

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

---------

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2025-02-19 12:02:35 +07:00
Wing Lian
23a9fcb0a7 make sure chatml dpo dataset loading works (#2333) 2025-02-18 16:08:40 -05:00
Dan Saunders
c3d4f6e295 Doc fix: TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL not necessary to use Triton kernel patches (#2343)
* removing note about TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL

* suggest using TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL for memory efficient attn
2025-02-18 10:06:31 -05:00
Wing Lian
7fa690fac8 bump dev version (#2342) 2025-02-18 04:30:59 -05:00
Wing Lian
3c743c4bfb v0.7.0 for release (#2341)
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v0.7.0
2025-02-18 04:26:21 -05:00
NJordan72
91bb95685a chore: cleanup deprecated config elements (#2309)
* feat: update metadata fields and refactor config class in axolotlinputconfig

- Replace `metadata` fields with `json_schema_extra` in RayConfig class.
- Replace `Config` class with `ConfigDict` in AxolotlInputConfig.
- Set `populate_by_name` to `True` directly in `ConfigDict` instance.

* feat: update axolotlinputconfig in utils

* Replace `conlist` with `Annotated` for `datasets`, `test_datasets`, and `pretraining_dataset` fields
* Change default values for `lr_scheduler` and `optimizer` fields in `HyperparametersConfig` class
* Remove unnecessary Union from `evals_per_epoch` field in `AxolotlInputConfig` class
* Import `MinLen` from `annotated_types` module
* Remove import of `conlist` from `pydantic` module

* feat: update modelinputconfig and axolotlinputconfig in v0_4_1

- Removed ConfigDict import from pydantic in `src/axolotl/utils/config/models/input/v0_4_1/__init__.py`
- Added `model_config` with `protected_namespaces` to ModelInputConfig
- Replaced `config: ConfigDict` with `model_config` in AxolotlInputConfig
- Set `populate_by_name` to True in `model_config` for AxolotlInputConfig

* chore: get rid of unused import
2025-02-18 15:39:24 +07:00
NJordan72
b194e17c28 feat: add config for optional parameters in a chat message (#2260)
* feat: add config for optional parameters in a chat message

* chore: cleanup

* chore: fix nits and add light docs

* docs: update docs/dataset-formats/conversation.qmd

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* feat: configurable message mappings, jinja template analyzer

* chore: handle bradley terry

* docs: update docs

* refactor: change order of mappings, improve message transform

* refactor: make chat awware of property mappings

* chore: remove .python-version

* chore: revert change

* chore: add dataset validation to tests where appropriate

* chore: add dataset validation to tests where appropriate

* chore: clean up handling of ds_cfg

* chore: recursively serialize config

* make sure to use the return value from validate_config

* DefaultDict pickle/unpickle fix

* fix super call for override

* refactor: message fields

* chore: empty commit

* tests: validate config before using

* chore: add config validation to all e2e tests

* chore: add unneeded logging

* chore: add missed config validation

* chore: pass field_messages to prompter

* test: fix borked test

* chore: remove uninteded file

* chore: add deprecation warning and update chat_datasets script

* chore: lint

* refactor: message fields

* feat: update axolotlinputconfig and test_models

- add configdict import in axolotl/utils/config/models/input/v0_4_1/__init__.py
- remove unnecessary line breaks in sftdataset, dpodataset, ktodataset, stepwisesuperviseddataset classes
- update model_dump method in axolotlinputconfig to exclude none values
- correct typo in test_models.py comment

* feat: simplify dpodataset and ktodataset classes in config models

removed several optional fields from dpodataset and ktodataset classes in axolotl/utils/config/models/input/v0_4_1. this simplifies the configuration subsets for these datasets.

* feat: improve readability and structure in dataset configuration models

this commit enhances the readability and structure of the dataset configuration models in the `axolotl/utils/config/models/input/v0_4_1` module. it removes unused `configdict` import and adds line breaks to separate class definitions for better clarity. additionally, a minor documentation fix is included to ensure a newline at the end of the `stepwise_supervised.qmd` file.

* feat: change log level from info to debug in chattemplatestrategy

* feat(prompt_strategies): refactor chattemplateprompter and chattemplatestrategy

- Make `chat_template` a required parameter in `ChatTemplatePrompter` constructor
- Add default value for `message_property_mappings` in `ChatTemplatePrompter` constructor
- Add `messages_array_name` property to `ChatTemplatePrompter`
- Change `processor` type to Optional in `ChatTemplatePrompter`
- Add TypeError check for `processor` in `ChatTemplatePrompter.build_prompt`
- Remove `_messages` property from `ChatTemplateStrategy`
- Make `prompter` a required parameter and add type hint in `ChatTemplateStrategy` constructor
- Remove `messages` getter and setter from `ChatTemplateStrategy`
- Use `prompter.messages_array_name` in `ChatTemplateStrategy.get_conversation_thread`
- Remove condition to set `messages` field in `load` function

* feat(tests/utils): ignore type check in load_model call in test_models.py

* feat: improve type handling and test structure in chat templates

- Add return type hint for `get_chat_template` function in `chat_templates.py`
- Remove unnecessary assignment of `strategy.messages` in several test cases
- Add `messages_array_name` parameter to various test configurations in `test_chat_templates.py` and `test_chat_templates_advanced.py`
- Remove redundant `strategy.messages` assignment in `test_chat_templates_advanced.py`

* feat(axolotl): enhance chat strategy with datasetconfig support

This commit introduces support for DatasetConfig in the ChatTemplateStrategy. It also refines the strategy loader to handle different types of ds_cfg inputs and improves the clarity of the code by formatting and reordering. The key changes include:

- Importing Union from typing and BaseModel from pydantic.
- Adding DatasetConfig as an optional type for ds_cfg in StrategyLoader.
- Adjusting the handling of ds_cfg in StrategyLoader to account for BaseModel instances.
- Refactoring the prompter_params and strategy_params for better readability.
- Changing the reference from prompt[self.messages] to prompt[self.prompter.messages_array_name] in the is_prompt_batched method.

* feat: update message handling in btchattemplatestrategy

* Replace `self.messages` with direct string references to "chosen_messages" and "rejected_messages"
* Append system, user, and assistant content directly to "chosen_messages" and "rejected_messages"
* Add a new attribute "messages_array_name" to the `load` function parameters
* Remove the conditional attribute assignment for "field_messages" in the `load` function

* feat: add config validation in test_kd.py

- Import `validate_config` from `axolotl.utils.config`
- Validate the configuration in `test_llama_kd` and another function in `TestKnowledgeDistillation` class

* feat: enhance config validation and capabilities handling

* Import `EnvCapabilities` and `GPUCapabilities` from `axolotl.utils.config.models.internals`
* Update `validate_config` function to create `KTODataset` and `SFTDataset` instances using `dict(ds_cfg)`
* Replace `capabilities` and `env_capabilities` with instances of `GPUCapabilities` and `EnvCapabilities` respectively in `AxolotlConfigWCapabilities` model dump

* feat: update config validation in axolotl utils

- Remove import of `EnvCapabilities` and `GPUCapabilities` from `axolotl.utils.config.models.internals`
- Update `validate_config` function to use `capabilities` and `env_capabilities` directly instead of creating new instances of `GPUCapabilities` and `EnvCapabilities`

* feat: refactor strategyloader in chat_template.py

- Extracted the creation of strategy parameters into a separate function, `_get_strategy_params(cfg, dataset_config)`
- Created a new function, `_get_strategy_cls()`, to obtain the strategy class
- Replaced `ChatTemplateStrategy` with `strategy_cls` for strategy instantiation

* trigger CI

* chore: revert dataset config changes for kto/dpo

* subject: refactor: rename 'messages_array_name' to 'field_messages'

Body:
- Renamed 'messages_array_name' to 'field_messages' in 'ChatTemplatePrompter' class and its usages in 'chat_template.py'
- Updated 'load' function in 'bradley_terry/chat_template.py' to reflect the change
- Adjusted 'get_chat_template_msg_variables' and 'get_message_vars' methods in 'jinja_template_analyzer.py' to use the new variable name
- Modified 'StrategyLoader' in 'chat_template.py' to use 'field_messages'
- Updated tests in 'test_chat_templates.py' and 'test_chat_templates_advanced.py' to use 'field_messages' instead of 'messages_array_name'

* feat: refactor prompt strategies and update config models

* Remove redundant 'return None' in `axolotl/prompt_strategies/__init__.py`
* Simplify message handling in `axolotl/prompt_strategies/bradley_terry/chat_template.py` by using a single 'messages' list instead of separate 'chosen_messages' and 'rejected_messages' lists
* Update default 'message_property_mappings' in `axolotl/prompt_strategies/bradley_terry/chat_template.py`
* Add 'field_messages' field to `axolotl/utils/config/models/input/v0_4_1/__init__.py` configuration model

* chore: remove unused input

* chore: remove redundant type ignore

* fix: remove old configs and update examples

* fix: type check

* fix: remove loading old config in ChatMessage

* fix: update faq with potential new undefinederror

* fix: add debug if property mapped is not found

* chore: improve explanation for unmapped properties

* fix: update docs with new config

* chore: add note for deprecation config and del old config from dict

---------

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-02-18 09:59:27 +07:00
Dan Saunders
3aac3b1da9 Move sweeps code to another module (#2338) 2025-02-17 15:46:04 -05:00
Dan Saunders
3d8425fa91 Activation function Triton kernels, LoRA custom autograd functions (#2324)
* LoRA + activation fn Triton kernels: initial commit

* implementing optims

* finalizing MLP LoRA kernels and progress on QKV / W kernels

* updates

* O projection optim

* adding monkey patching logic

* doc strings, typing, pre-commit fixes

* updates

* adding lora 8b kernels example

* working on fsdp support

* tests and fixes

* small fixes, getting tests to pass, adding doc strings

* integration tests for LoRA patching

* config.qmd

* remove unneeded pytest fixture

* fix

* review comments first pass

* improving tests, attention class agnostic patching

* adding support for more archs

* wip SiLU / GELU impls

* improved testing, small updates, etc.

* slightly updating docs

* rebase

* fixing test_attention_patching_integration

* additional review comments, fixing test in CI (hopefully)

* isolating problematic patching test

* relaxing allclose threshold to reduce flakiness

* fixing accidental change

* adding model arch agnostic attention class fetching

* removing unused activations
2025-02-17 14:23:15 -05:00
Seungduk Kim
97a2fa2781 Select input_ids explicitly after panda conversion (#2335)
Without selecting the column, applying `len` counts the whole row as 1 which resulting the total number of the samples instead of the token counts.
2025-02-17 00:07:27 -05:00
Wing Lian
a98526ef78 add support for include_tokens_per_second in training args (#2269)
* add support for include_tokens_per_second in training args

* Update docs/config.qmd

Co-authored-by: NanoCode012 <nano@axolotl.ai>

* Update src/axolotl/core/trainer_builder.py

Co-authored-by: NanoCode012 <nano@axolotl.ai>

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-02-13 17:39:19 -05:00
NanoCode012
2e57391bf8 fix: add missing shards_idx, preprocess_shards to docs and validator (#2331) 2025-02-13 17:28:21 -05:00
minpeter
aa45fed451 Add bos_token and add_generation_prompt to the alpaca chat template (#2322)
* fix alpaca add_generation_prompt

* Alpaca template considering multi-turn

Co-authored-by: xzuyn <xzuyn@users.noreply.github.com>

---------

Co-authored-by: xzuyn <xzuyn@users.noreply.github.com>
2025-02-13 17:27:55 -05:00
NanoCode012
a09a5cfd1c feat(doc): add tensorboard config to docs (#2329) 2025-02-13 16:02:16 -05:00
NanoCode012
40362d60e0 feat(doc): Improve guide to dataset types with better examples (#2286) 2025-02-13 16:01:41 -05:00
Wing Lian
ffae8d6a95 GRPO (#2307) 2025-02-13 16:01:01 -05:00
Lee Park
fdbb1a207c [Fixing #2149] load_from_disk for RL-type training (#2193)
* Update rl.py

* Update rl.py

* Update rl.py

* refactor pref dataset loading to reuse load_dataset_w_config

* refactor again after rebase from main

* chore: add docstring and types

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-02-13 08:31:07 -05:00
Wing Lian
30046315d9 disable ray tests for latest torch release (#2328)
* disable ray tests for latest torch release

* move decorator from class to method
2025-02-12 18:29:02 -05:00
Wing Lian
e37a4a536a lint docs (#2327) 2025-02-12 10:04:26 -05:00
Sung Ching Liu
44f64ab627 Update faq.qmd (#2319)
* Update faq.qmd

Added Q&A for being stuck on saving preprocessed datasets

* Update faq.qmd

added details on preprocessing on cpu

* Update faq.qmd

* Update faq.qmd
2025-02-11 13:18:31 -05:00
NanoCode012
826f1b1494 feat(doc): Add multi-node torchrun info (#2304) 2025-02-08 06:02:02 -05:00
NanoCode012
526e5ee8b8 fix(config): missing config not being documented and fix model_ override (#2317)
* fix(config): missing config not being documented and fix model_ space override

* fix: delete redundant field
2025-02-08 06:01:48 -05:00
NanoCode012
fd8cb32547 chore: remove redundant py310 from tests (#2316) 2025-02-07 21:34:16 -05:00
NanoCode012
e48e2df4dd feat: update FA to 2.7.4.post1 which includes torch2.6 binary (#2315) 2025-02-07 21:34:01 -05:00
Wing Lian
b7616022ab bump transformers to 4.48.3 (#2318) 2025-02-07 21:33:44 -05:00
Wing Lian
1faf1a5c5a batch add of spectrum snr results (#2320) 2025-02-07 21:33:14 -05:00
NanoCode012
5bbad5ef93 feat: add torch2.6 to ci (#2311) 2025-02-07 07:28:54 -05:00
Wing Lian
a971eb4ce6 Torch 2.6 support for base docker image (#2312) 2025-02-05 09:24:02 -05:00