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v0.13.2
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320 Commits

Author SHA1 Message Date
Wing Lian
a531e9d946 upgrade vllm to v0.14.0 (#3345) 2026-01-21 20:00:18 -05:00
VED
d0d26d5064 feat: Add GDPO Support (#3353) 
* gdpo support - test left

* lint

* fixxes for vllm serv

* test advantages

* docss

* lint

* lint =

* gdpo simple + lint

* lint nit

* example

* lint

* trl 0.27.0

* blocklist

* test assert rmv

* add validation check for GDPO + sum_then_normalize

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
 2026-01-21 17:22:45 -05:00
NanoCode012
359b7ad85e fix: gemma3_text model loading vision config (#3354) 
* fix: gemma3-text mode loading vision config

* fix: improve defaults to use lora kernels
 2026-01-13 09:49:23 -05:00
VED
258ce8d4fa feat : scaled softmax support (#3338) 
* scaled softmax

* comment

* lint

* remove egear

* validation for flash

* lint

* val imporve + neet

* fix correct softmax scale val(learned)

* learned scale val 4 ssm

* lint

* fix model_type rmv

* sdpa_atten

* test fix + lint

* test fix

* sdp_a val rmv

* flex fix

* main flash

* lint

* flex attn

* lint comment

* fix score_mod

* Update src/axolotl/utils/schemas/validation.py

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

---------

Co-authored-by: Ved <ved.work2024@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
 2026-01-13 14:33:11 +07:00
PraMamba
8aab807e67 feat: Add SwanLab integration for experiment tracking (#3334) 
* feat(swanlab): add SwanLab integration for experiment tracking

SwanLab integration provides comprehensive experiment tracking and monitoring for Axolotl training.

Features:
- Hyperparameter logging
- Training metrics tracking
- RLHF completion logging
- Performance profiling
- Configuration validation and conflict detection

Includes:
- Plugin in src/axolotl/integrations/swanlab/
- Callback in src/axolotl/utils/callbacks/swanlab.py
- Tests in tests/integrations/test_swanlab.py
- Examples in examples/swanlab/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* fix(swanlab): address PR #3334 review feedback from winglian and CodeRabbit

- Change use_swanlab default to True (winglian)
- Clear buffer after periodic logging to prevent duplicates (CodeRabbit Major)
- Add safe exception handling in config fallback (CodeRabbit)
- Use context managers for file operations (CodeRabbit)
- Replace LOG.error with LOG.exception for better debugging (CodeRabbit)
- Sort __all__ alphabetically (CodeRabbit)
- Add language specifiers to README code blocks (CodeRabbit)
- Fix end-of-file newline in README (pre-commit)

Resolves actionable comments and nitpicks from CodeRabbit review.
Addresses reviewer feedback from @winglian.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* only run swanlab integration tests if package is available

---------

Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
 2026-01-06 09:19:18 -05:00
Wing Lian
66a3de3629 build examples readmes with quarto (#3046) 
* build examples readmes with quarto

* chore: formatting

* feat: dynamic build docs

* feat: add more model guides

* chore: format

* fix: collapse sidebar completely to have space for model guides

* fix: security protection for generated qmd

* fix: adjust collapse level, add new models, update links

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
 2025-12-25 19:17:25 +07:00
NanoCode012
4f5e8a328a Feat: add MiMo and Plano (#3332) [skip-ci] 
* feat: add xiaomi's mimo 7b

* fix: pin revision

* fix: update trinity docs and pin revision

* fix: wrong config name

* feat: add vram usage

* feat: add plano

* feat: update plano vram usage

* chore: comments
 2025-12-25 18:09:03 +07:00
NanoCode012
418933f0d1 feat: add internvl3_5 (#3141) [skip-ci] 
* feat: add internvl3_5

* fix: add timm instructions

* chore: add kimi-linear to cce doc

* feat: update internvl example

* chore: pin revision

* chore: remove from multipack

* fix: add to multimodal array

* fix: internvl use hf version

* feat: update cce

* chore: lint

* fix: list for image_size

* chore: add docs vram usage

* feat: enable cce

* fix: no need trust remote code

* fix: inconsistent timm version
 2025-12-25 18:07:59 +07:00
NanoCode012
372f664c63 feat: cleanup old flex mask patch, suppress Matmul bnb warn, and misc (#3330) [skip-ci] 
* feat: add pos id to flex attention for packing part 1

* feat: update to include sliding window mask patch

* fix: suppress MatMul8bitLt: inputs will be cast from warnings

* fix: remove redundant flex attention patch

* chore: update olmo docs

* feat: add validator patch for cross entropy
 2025-12-25 17:56:20 +07:00
NanoCode012
97f1b1758d Feat: add kimi linear support (#3257) 
* feat: add custom kimi linear patch [skip ci]

* feat: add configuration file and fix import [skip ci]

* fix: hijack tokenizer temporarily [skip ci]

* chore: remove accidental commit

* fix: attempt patch kimi remote

* fix: kwargs passsed

* fix: device for tensor

* fix: aux loss calculation

* feat: cleaned up patches order

* fix: remove duplicate tokenizer patch

* chore: add debug logs

* chore: add debug logs

* chore: debug

* Revert "chore: add debug logs"

This reverts commit da372a5f67.

* Revert "chore: add debug logs"

This reverts commit 97d1de1d7c.

* fix: KeyError: 'tokenization_kimi'

* fix: support remote_model_id in cce patch

* feat: add config preload patch

* fix: use standard aux loss calc and updated modeling

* fix: import

* feat: add kimi-linear docs and example

* chore: add note about moe kernels

* feat: update cce to include kimi-linear

* chore: lint

* chore: update main readme

* fix: patch mechanism to address comments

* chore: lint

* fix: tests

* chore: cleanup comment
 2025-12-25 17:53:52 +07:00
Abubakar Abid
f2155eaf79 feat: add trackio as experiment tracking integration (#3253) 
* feat: add trackio as experiment tracking integration

- Add TrackioConfig to integrations schema with project_name, run_name, and space_id
- Create trackio_.py module for environment setup
- Add is_trackio_available() utility function
- Integrate trackio with report_to in trainer builder
- Add trackio callback for experiment tracking
- Add trackio config keys to gpt-oss example YAMLs
- Trackio runs locally by default, syncs to HF Space if space_id provided

* changes

* changes

* changes

* changes

* changes

* changes

* changes

* Update requirements.txt

* don't allow pydantic 2.12 for now

---------

Co-authored-by: Abubakar Abid <aaabid93@gmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
 2025-12-23 08:49:07 -05:00
Wing Lian
efeb5a4e41 fix check for fp8 capability (#3324) 
* fix check for fp8 capability

* handle non-cuda compute

* reduce concurrency of tests
 2025-12-22 13:58:25 -05:00
salman
bbd3486f57 Distributed Muon Optimizer (#3264) 
* init

* working

* updating configs

* removing unneeded files

* lint

* comments

* lint

* fix regex match

* bump contribs version

* comments

* fixing tests and imports

* muon imports in test v2

* test cleanup

* bump contribs version

---------

Co-authored-by: Salman Mohammadi <“salman.mohammadi@outlook.com”>
 2025-12-19 10:43:47 -05:00
salman
83d4d97dcc Add QAT NVFP4 configs for blogpost (#3280) [skip ci] 
* add configs for blogpost

* fix configs

* fixing baseline configs
 2025-12-17 09:35:22 -05:00
NanoCode012
a1d07f42e4 Fix(misc): address PYTORCH_CUDA_ALLOC_CONF deprecate (#3313) 
* fix: leftover ministral docs changes

* fix: pytorch_cuda_alloc_conf deprecation

* fix: set old PYTORCH_CUDA_ALLOC_CONF env too

* handle 2.9 separately

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
 2025-12-17 09:12:18 -05:00
NanoCode012
4ac78aa562 fix: update qwen3 jinja tokenization off a few tokens (#3295) 
* fix: update qwen3 jinja tokenization off a few tokens

* fix: add note on tokenization issue

* fix: pop last index for mistral tokenizer
 2025-12-09 14:31:03 +07:00
NanoCode012
5992e607a2 fix: improve ministral3 docs to be clearer (#3300) 
* fix: improve ministral3 docs to be clearer

* fix: title

* chore: wording
 2025-12-04 21:44:44 +07:00
NanoCode012
2b66ee189c Feat: add ministral3 (#3297) 
* feat: add ministral and mistral3

* chore: lint

* feat: update cce for ministral

* fix: add vram usage

* feat: update for release

* fix: save_pretrained issue in v5

* fix: add instructions to use v5 branch

* fix: add to multipack

* fix: improve instructions

* fix: add model to readme
 2025-12-04 08:32:08 -05:00
NanoCode012
86d8cca149 Feat: add trinity by ArceeAI (#3292) 2025-12-02 13:12:55 -05:00
NanoCode012
006f226270 Feat: add Olmo3 (BC with Olmo and Olmo2) (#3275) 
* feat: update cce to include olmo family

* chore: update docs following feedback

* feat: add olmo3 config

* fix: clarify 3 methods

* chore: add olmo to readme
 2025-11-24 10:21:31 +07:00
NanoCode012
49b8107989 feat: add granite4 examples (#3256) [skip ci] 2025-11-13 10:19:16 -05:00
NanoCode012
9901ee5602 fix: voxtralprocessor broken (#3255) [skip ci] 
* fix: voxtralprocessor broken

* chore: add todo

* chore: wording
 2025-11-13 10:18:42 -05:00
NanoCode012
01a346d86a feat(example): add gpt-oss-safeguard docs (#3243) 
* feat(example): add gpt-oss-safeguard docs

* fix: add doc on reasoning_effort
 2025-11-04 07:39:21 +07:00
NanoCode012
26f05b6008 fix(example): set model_type to load for gemma3 text (#3242) 
* fix: set model_type to load for gemma3 text

* chore: simplify

* chore: unify
 2025-11-04 07:35:07 +07:00
VED
4dc018992d Feat/opentelemetry (#3215) 2025-10-22 19:16:55 -07:00
NanoCode012
243620394a fix: force train split for json,csv,txt for test_datasets and misc doc changes (#3226) 
* fix: force train split for json,csv,txt for test_datasets

* feat(doc): add info on mixing datasets for VLM

* feat(doc): max memory

* fix(doc): clarify lr groups

* fix: add info on vision not being dropped

* feat: add qwen3-vl to multimodal docs

* fix: add moe blocks to arch list

* feat(doc): improve mistral docs

* chore: add helpful link [skip-e2e]

* fix: add vram usage for mistral small

* Update link in docs/faq.qmd

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

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: salman <salman.mohammadi@outlook.com>
 2025-10-22 15:23:20 -07:00
NanoCode012
8c7f63cf97 fix: unpack cce imported incorrectly (#3212) [skip ci] 2025-10-13 17:19:15 +07:00
salman
143dea4753 FSDPConfig (#3170) 2025-10-10 14:44:25 +01:00
NanoCode012
ab63b92c38 feat: add lfm2 family and latest moe model (#3208) 
* feat: add lfm2 family and latest moe model

* fix: use ml-cross-entropy for lfm2 examples
 2025-10-09 10:47:41 -04:00
Grant Holmes (Ren)
850c1a5f8d Add FSDP v2 swap memory support + QLoRA compatibility fixes (#3167) 
Co-authored-by: salman <salman.mohammadi@outlook.com>
 2025-09-26 10:23:59 +01:00
NanoCode012
7fa8ac40cd Feat(cce): add qwen3_vl, qwen3_vl_moe, granitemoeshared, granitemoehybrid, and upgraded all cce patches (#3178) 
* feat: upgrade cce with patches for transformers 4.56

* feat: add missing models to cce readme
 2025-09-26 12:11:29 +07:00
miketung
33975ce4bc feat(qwen3-next): Adds targeting of shared expert and attention modules (#3183) 
* Adds targetting of shared expert and attention modules in each layer

* Update VRAM usage

---------

Co-authored-by: Mike Tung <mike@diffbot.com>
 2025-09-25 17:06:16 +07:00
NanoCode012
856ff12171 feat(doc): add optimizations table of content to our improvements (#3175) [skip ci] 
* chore: format

* feat: add usage for alst

* chore: wording

* feat: add optimizations doc

* Apply suggestion from @SalmanMohammadi

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

* Update docs/dataset-formats/index.qmd

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

* feat: add alst, act offloading, nd parallelism, use relative links, and fix format

* chore: comments

---------

Co-authored-by: salman <salman.mohammadi@outlook.com>
 2025-09-24 16:13:49 -04:00
NanoCode012
b3b92687c4 chore: rename gemma3 270m config (#3174) 2025-09-24 13:48:38 +07:00
NanoCode012
55d1be2ae6 fix: unify default for conversations_field [skip-e2e] (#3070) 
* fix: unify default for conversations_field

* fix: suggestion to remove defaults
 2025-09-23 21:22:15 +07:00
NanoCode012
08d831c3d5 Feat: add qwen3-next (w packing+cce) (#3150) 
* feat: upgrade cce for qwen3-next

* feat: add sample qwen3 config

* feat: add packing patch for chunk_gated_delta_rule

* feat: add qwen3 link

* fix: tuple name

* feat: add tested qwen3 config

* fix: improve log

* feat: add patch for fla without packing

* fix: remove fla patch for standard mode

* feat: enable packing

* feat: add qwen3-next tests

* chore: move tests
 2025-09-23 11:31:15 +07:00
NanoCode012
c51d6b06c3 feat: add apertus model and cce (#3144) [skip ci] 
* feat: add apertus, glm4v, glm4v_moe cce

* fix: arcee docs

* feat: add apertus

* feat: added vram usage

* fix: add apertus note

* feat: update doc on apertus xielu

* fix: add monkeypatch for xielu activation issue

* fix: simplify env

* feat: pin commit

* feat: add packing

* chore: move patch calling

* Update examples/apertus/README.md

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

* Update examples/apertus/README.md

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

* Update examples/apertus/README.md

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

---------

Co-authored-by: salman <salman.mohammadi@outlook.com>
 2025-09-19 17:34:04 +07:00
NanoCode012
09959fac70 Feat: add Magistral Small 2509 and native mistral3 tokenizer support (#3165) 
* feat: update mistral common

* feat: add mistral3processor

* fix: loading

* fix: cast pixel_values to fp32

* fix: image tensor conversion

* feat: add FA2 support for pixtral based models

* fix: update mistral small 3.1 to use native tokenizer

* fix: install tips

* fix: improve info on sample dataset files

* chore: move mistral configs into subfolders

* fix: remove unneeded patch

* fix: indent

* feat: add integration tests

* chore: move

* feat: add magistral 2509 docs and example

* fix: convert tensor to bool

* feat: expand tests

* chore: move tests
 2025-09-18 15:42:20 +07:00
Dan Saunders
4065bc14c6 Debug log, logging improvements (#3159) 
* simplify logging

* remove comment

* progress on debug.log

* add debug-level logger for file log

* simplify

* case insensitivity; 3rd party logging improvements

* simplify

* fix

* tests

* lint

* nits

* nit

* Update tests/test_utils_tee.py

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* cleanup / comments

* fix

* oops

---------

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
 2025-09-17 13:27:03 -04:00
salman
e5c427f6de qat doc updates (#3162) [skip-ci] 2025-09-17 10:38:15 +01:00
salman
58d67bf98d Migrate QAT API; fix axolotl quantize for QAT-ed models; add NVFP4 (#3107) 2025-09-12 10:55:50 +01:00
NanoCode012
fcfc13d710 feat(doc): update thinking and chat_template notes (#3114) [skip ci] 
* feat: update thinking and chat_template notes

* fix: grammar
 2025-09-12 14:45:18 +07:00
Dan Saunders
1b53c49e1a text diffusion training plugin (#3067) 
* diffusion training plugin

* cleanup

* nits

* fixes + improvements

* add back in reinit_weights (clobbered?); masking / pretrain fixes

* nits

* cleanup; tests draft

* sample generation, tests fixes

* fixes

* nits

* add inference support; add auto-mask token support

* nits

* nits

* progress

* simplify logging

* lint

* prefix args with diffusion_

* coderabbito

* tests fix

* nit

* nits

* cleanup + nits

* nits

* fix SFT sample gen

* fixes

* fix

* comments

* comments

* lint

* reward model lora fix

* cleanup; fix pretraining_dataset case

* gradio inference

* update cfgs

* update cfgs

* train, generation parity, cleanup

* fix

* simplify

* test

* test fix
 2025-09-10 20:27:00 -04:00
NanoCode012
b71482cec5 Feat: add hunyuan v1 (#3016) 
* feat: add hunyuan cce support

* feat: update cce docs

* feat: add multipack support for granite and hunyuan

* feat: add hunyuan docs and example config

* feat: update readme instructions to include CCE installation

* fix: chat template log appearing despite tokenizer already having template

* feat: add vram usage

* fix: remove duplicate cce install

* fix: use latest commit of PR in case rebased/pushed

* Revert "fix: use latest commit of PR in case rebased/pushed"

This reverts commit 8b60aa00de.

* feat: update doc as upstream merged
 2025-09-10 09:03:30 +07:00
NanoCode012
79103b01ca Feat: add seedoss (#3104) [skip ci] 
* feat: add seedoss cce

* feat: add seedoss config and docs

* fix: shouldn't have target modules with target linear

* feat: add vram numbers

* fix: hf link

* fix: name

* fix: support multipack seedoss

* fix: merge error

* feat: update seedoss instructions for transformers release
 2025-09-10 09:01:02 +07:00
yardenhoch
efa1da52d5 Center rewards coefficient (#3124) 
* feat: add center_rewards_coefficient for reward modeling

- Add center_rewards_coefficient parameter to Pydantic schema with paper reference
- Pass parameter through base builder and causal builder to training args
- Add documentation section with usage examples and theoretical background
- Enable parameter in reward modeling example configs with recommended value
- Enables reward centering for improved training stability in RLHF workflows

Implements auxiliary loss from Eisenstein et al. 2023 (https://huggingface.co/papers/2312.09244)
to incentivize mean-zero reward outputs without post-training normalization.

* Update description

* test: add unit tests for center_rewards_coefficient integration

* Update src/axolotl/core/builders/base.py

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

* Update docs/reward_modelling.qmd

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

* Update docs/reward_modelling.qmd

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

* reference to TRL documentation.

* add new reward model configuration for qwen3 with comprehensive parameters

* Verified center_rewards_coefficient is correctly passed through the trainer builder to training arguments.

* Refactor reward modeling documentation to consolidate information on center_rewards_coefficient

* Remove unit tests for center_rewards_coefficient integration as part of codebase cleanup.

* linting

* nit

* Apply suggestions from code review

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

* lint

---------

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
Co-authored-by: Salman Mohammadi <salman.mohammadi@outlook.com>
 2025-09-03 16:22:37 -04:00
mhenrichsen
48db520d92 Create 270m-qlora.yml (#3075) [skip ci] 
Adds 270m gemma3 qlora
 2025-09-03 16:20:32 -04:00
Dan Saunders
231a67e70b Streaming SFT support (#3101) 
* working

* fixes

* deprecate --iterable; cleanup

* pretrain_multipack_buffer_size -> streaming_multipack_buffer_size

* improvements

* tests

* remove unused

* docs, examples

* nit

* nit

* add val_set_size validation

* val

* nit

* min

* coderabbito

* cleanup

* nit

* add depr warning, cleanup

* nit

* fix test, fix quarto

* fix

* review comments

* review comments

* fix
 2025-09-02 12:08:44 -04:00
Wing Lian
6afba3871d Add support for PyTorch 2.8.0 (#3106) 
* Add support for PyTorch 2.8.0

* loosen triton requirements

* handle torch 2.8.0 in setup.py

* fix versions

* no vllm for torch 2.8.0

* remove comment

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

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
 2025-08-28 09:10:40 -04:00
Wing Lian
0e9945e3b9 deploy training jobs to baseten w truss in axolotl cli (#3086) [skip ci] 
* deploy training jobs to baseten w truss in axolotl cli

* cleanup
 2025-08-26 09:29:50 -04:00