1- accelerate==1.0.1 # via -r requirements-cuda.txt, -r requirements-rocm.txt, peft, trl
1+ absl-py==2.3.0 # via tensorboard
2+ accelerate==1.0.1 # via peft, trl, -r requirements-cuda.txt, -r requirements-rocm.txt
23aiofiles==24.1.0 # via -r requirements.txt
34aiohappyeyeballs==2.6.1 # via aiohttp
4- aiohttp==3.12.2 # via fsspec
5+ aiohttp==3.12.4 # via fsspec
56aiosignal==1.3.2 # via aiohttp
67annotated-types==0.7.0 # via pydantic
78anyio==4.9.0 # via httpx, jupyter-server
@@ -17,22 +18,24 @@ beautifulsoup4==4.13.4 # via nbconvert
1718bitsandbytes==0.46.0 # via -r requirements-cuda.txt
1819bleach==6.2.0 # via nbconvert
1920cachetools==6.0.0 # via tox
20- certifi==2025.4.26 # via httpcore, httpx, requests
21+ certifi==2025.4.26 # via httpcore, httpx, requests, sentry-sdk
2122cffi==1.17.1 # via argon2-cffi-bindings
2223cfgv==3.4.0 # via pre-commit
2324chardet==5.2.0 # via tox
2425charset-normalizer==3.4.2 # via requests
26+ click==8.2.1 # via wandb
2527colorama==0.4.6 # via tox
2628comm==0.2.2 # via ipykernel, ipywidgets
2729contourpy==1.3.2 # via matplotlib
2830cycler==0.12.1 # via matplotlib
29- datasets==3.6.0 # via -r requirements.txt, trl
31+ datasets==3.6.0 # via trl, -r requirements.txt
3032debugpy==1.8.14 # via ipykernel
3133decorator==5.2.1 # via ipython
3234deepspeed==0.16.9 # via -r requirements-deepspeed.txt
3335defusedxml==0.7.1 # via nbconvert
3436dill==0.3.8 # via datasets, multiprocess, pylint
3537distlib==0.3.9 # via virtualenv
38+ docker-pycreds==0.4.0 # via wandb
3639einops==0.8.1 # via deepspeed, flash-attn
3740executing==2.2.0 # via stack-data
3841fastjsonschema==2.21.1 # via nbformat
@@ -42,21 +45,25 @@ fonttools==4.58.1 # via matplotlib
4245fqdn==1.5.1 # via jsonschema
4346frozenlist==1.6.0 # via aiohttp, aiosignal
4447fsspec==2025.3.0 # via datasets, huggingface-hub, torch
48+ gitdb==4.0.12 # via gitpython
49+ gitpython==3.1.44 # via wandb
50+ grpcio==1.71.0 # via tensorboard
4551h11==0.16.0 # via httpcore
4652hf-xet==1.1.2 # via huggingface-hub
4753hjson==3.1.0 # via deepspeed
4854httpcore==1.0.9 # via httpx
4955httpx==0.28.1 # via jupyterlab
50- huggingface-hub==0.32.2 # via -r requirements-dev.txt, accelerate, datasets, peft, tokenizers, transformers
56+ huggingface-hub==0.32.3 # via accelerate, datasets, peft, tokenizers, transformers, -r requirements-dev.txt
5157identify==2.6.12 # via pre-commit
5258idna==3.10 # via anyio, httpx, jsonschema, requests, yarl
59+ iniconfig==2.1.0 # via pytest
5360instructlab-dolomite==0.2.0 # via -r requirements.txt
54- ipykernel==6.29.5 # via -r requirements-dev.txt, jupyter, jupyter-console, jupyterlab
55- ipython==9.2.0 # via -r requirements-dev.txt, ipykernel, ipywidgets, jupyter-console
61+ ipykernel==6.29.5 # via jupyter, jupyter-console, jupyterlab, -r requirements-dev.txt
62+ ipython==9.2.0 # via ipykernel, ipywidgets, jupyter-console, -r requirements-dev.txt
5663ipython-pygments-lexers==1.1.1 # via ipython
5764ipywidgets==8.1.7 # via jupyter
5865isoduration==20.11.0 # via jsonschema
59- isort==6.0.1 # via -r requirements-dev.txt, pylint
66+ isort==6.0.1 # via pylint, -r requirements-dev.txt
6067jedi==0.19.2 # via ipython
6168jinja2==3.1.6 # via jupyter-server, jupyterlab, jupyterlab-server, nbconvert, torch
6269json5==0.12.0 # via jupyterlab-server
@@ -78,8 +85,9 @@ jupyterlab-widgets==3.0.15 # via ipywidgets
7885kiwisolver==1.4.8 # via matplotlib
7986liger-kernel==0.5.10 # via -r requirements-cuda.txt
8087llvmlite==0.44.0 # via numba
88+ markdown==3.8 # via tensorboard
8189markdown-it-py==3.0.0 # via rich
82- markupsafe==3.0.2 # via jinja2, nbconvert
90+ markupsafe==3.0.2 # via jinja2, nbconvert, werkzeug
8391matplotlib==3.10.3 # via -r requirements-dev.txt
8492matplotlib-inline==0.1.7 # via ipykernel, ipython
8593mccabe==0.7.0 # via pylint
@@ -89,17 +97,19 @@ mpmath==1.3.0 # via sympy
8997msgpack==1.1.0 # via deepspeed
9098multidict==6.4.4 # via aiohttp, yarl
9199multiprocess==0.70.16 # via datasets
100+ mypy==1.16.0 # via -r requirements-dev.txt
101+ mypy-extensions==1.1.0 # via mypy
92102nbclient==0.10.2 # via nbconvert
93103nbconvert==7.16.6 # via jupyter, jupyter-server
94104nbformat==5.10.4 # via jupyter-server, nbclient, nbconvert
95105nest-asyncio==1.6.0 # via ipykernel
96- networkx==3.4.2 # via torch
106+ networkx==3.5 # via torch
97107ninja==1.11.1.4 # via deepspeed
98108nodeenv==1.9.1 # via pre-commit
99109notebook==7.4.3 # via jupyter
100110notebook-shim==0.2.4 # via jupyterlab, notebook
101111numba==0.61.2 # via -r requirements.txt
102- numpy==1.26.4 # via -r requirements-dev.txt, -r requirements.txt, accelerate, bitsandbytes, contourpy, datasets, deepspeed, matplotlib, numba, pandas, peft, transformers
112+ numpy==1.26.4 # via accelerate, bitsandbytes, contourpy, datasets, deepspeed, matplotlib, numba, pandas, peft, tensorboard, transformers, -r requirements-dev.txt, -r requirements.txt
103113nvidia-cublas-cu12==12.4.5.8 # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch
104114nvidia-cuda-cupti-cu12==12.4.127 # via torch
105115nvidia-cuda-nvrtc-cu12==12.4.127 # via torch
@@ -110,84 +120,96 @@ nvidia-curand-cu12==10.3.5.147 # via torch
110120nvidia-cusolver-cu12==11.6.1.9 # via torch
111121nvidia-cusparse-cu12==12.3.1.170 # via nvidia-cusolver-cu12, torch
112122nvidia-cusparselt-cu12==0.6.2 # via torch
113- nvidia-ml-py==12.575.51 # via deepspeed
114123nvidia-nccl-cu12==2.21.5 # via torch
115124nvidia-nvjitlink-cu12==12.4.127 # via nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch
116125nvidia-nvtx-cu12==12.4.127 # via torch
117126overrides==7.7.0 # via jupyter-server
118- packaging==25.0 # via -r requirements.txt, accelerate, datasets, deepspeed, huggingface-hub, ipykernel, jupyter-events, jupyter-server, jupyterlab, jupyterlab-server, matplotlib, nbconvert, peft, pyproject-api, tox, transformers
127+ packaging==25.0 # via accelerate, datasets, deepspeed, huggingface-hub, ipykernel, jupyter-events, jupyter-server, jupyterlab, jupyterlab-server, matplotlib, nbconvert, peft, pyproject-api, pytest, tensorboard, tox, transformers, -r requirements.txt
119128pandas==2.2.3 # via datasets
120129pandocfilters==1.5.1 # via nbconvert
121130parso==0.8.4 # via jedi
131+ pathspec==0.12.1 # via mypy
122132peft==0.15.2 # via -r requirements.txt
123133pexpect==4.9.0 # via ipython
124134pillow==11.2.1 # via matplotlib
125- platformdirs==4.3.8 # via jupyter-core, pylint, tox, virtualenv
126- pluggy==1.6.0 # via tox
135+ platformdirs==4.3.8 # via jupyter-core, pylint, tox, virtualenv, wandb
136+ pluggy==1.6.0 # via pytest, tox
127137pre-commit==4.2.0 # via -r requirements-dev.txt
128138prometheus-client==0.22.0 # via jupyter-server
129139prompt-toolkit==3.0.51 # via ipython, jupyter-console
130140propcache==0.3.1 # via aiohttp, yarl
131- psutil==7.0.0 # via accelerate, deepspeed, ipykernel, peft
141+ protobuf==6.31.1 # via tensorboard, wandb
142+ psutil==7.0.0 # via accelerate, deepspeed, ipykernel, peft, wandb
132143ptyprocess==0.7.0 # via pexpect, terminado
133144pure-eval==0.2.3 # via stack-data
134- py-cpuinfo==9.0.0 # via -r requirements.txt, deepspeed
145+ py-cpuinfo==9.0.0 # via deepspeed, -r requirements.txt
135146pyarrow==20.0.0 # via datasets
136147pycparser==2.22 # via cffi
137- pydantic==2.11.5 # via -r requirements.txt, deepspeed, pylint-pydantic
148+ pydantic==2.11.5 # via deepspeed, pylint-pydantic, wandb, -r requirements.txt
138149pydantic-core==2.33.2 # via pydantic
139150pygments==2.19.1 # via ipython, ipython-pygments-lexers, jupyter-console, nbconvert, rich
140- pylint==3.3.7 # via -r requirements-dev.txt, pylint-plugin-utils, pylint-pydantic
151+ pylint==3.3.7 # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt
141152pylint-plugin-utils==0.8.2 # via pylint-pydantic
142153pylint-pydantic==0.3.5 # via -r requirements-dev.txt
143154pyparsing==3.2.3 # via matplotlib
144155pyproject-api==1.9.1 # via tox
156+ pytest==8.3.5 # via -r requirements-dev.txt
145157python-dateutil==2.9.0.post0 # via arrow, jupyter-client, matplotlib, pandas
146158python-json-logger==3.3.0 # via jupyter-events
147159pytz==2025.2 # via pandas
148- pyyaml==6.0.2 # via -r requirements.txt, accelerate, datasets, huggingface-hub, jupyter-events, peft, pre-commit, transformers
160+ pyyaml==6.0.2 # via accelerate, datasets, huggingface-hub, jupyter-events, peft, pre-commit, transformers, wandb, -r requirements.txt
149161pyzmq==26.4.0 # via ipykernel, jupyter-client, jupyter-console, jupyter-server
150162referencing==0.36.2 # via jsonschema, jsonschema-specifications, jupyter-events
151163regex==2024.11.6 # via transformers
152- requests==2.32.3 # via datasets, huggingface-hub, jupyterlab-server, transformers
164+ requests==2.32.3 # via datasets, huggingface-hub, jupyterlab-server, transformers, wandb
153165rfc3339-validator==0.1.4 # via jsonschema, jupyter-events
154166rfc3986-validator==0.1.1 # via jsonschema, jupyter-events
155167rich==14.0.0 # via -r requirements.txt
156168rpds-py==0.25.1 # via jsonschema, referencing
157- ruff==0.11.11 # via -r requirements-dev.txt
169+ ruff==0.11.12 # via -r requirements-dev.txt
158170safetensors==0.5.3 # via accelerate, instructlab-dolomite, peft, transformers
159171send2trash==1.8.3 # via jupyter-server
160- six==1.17.0 # via python-dateutil, rfc3339-validator
172+ sentry-sdk==2.29.1 # via wandb
173+ setproctitle==1.3.6 # via wandb
174+ setuptools==80.9.0 # via jupyterlab, tensorboard, wandb
175+ six==1.17.0 # via docker-pycreds, python-dateutil, rfc3339-validator, tensorboard
176+ smmap==5.0.2 # via gitdb
161177sniffio==1.3.1 # via anyio
162178soupsieve==2.7 # via beautifulsoup4
163179stack-data==0.6.3 # via ipython
164180sympy==1.13.1 # via torch
181+ tensorboard==2.19.0 # via -r requirements-dev.txt
182+ tensorboard-data-server==0.7.2 # via tensorboard
165183terminado==0.18.1 # via jupyter-server, jupyter-server-terminals
166184tinycss2==1.4.0 # via bleach
167185tokenizers==0.21.1 # via transformers
168186tomlkit==0.13.2 # via pylint
169- torch==2.6.0 # via -c constraints-dev.txt.in, -r requirements.txt, accelerate, bitsandbytes, deepspeed, flash-attn, instructlab-dolomite, liger-kernel, peft
187+ torch==2.6.0 # via accelerate, bitsandbytes, deepspeed, flash-attn, instructlab-dolomite, liger-kernel, peft, -c constraints-dev.txt.in, -r requirements.txt
170188tornado==6.5.1 # via ipykernel, jupyter-client, jupyter-server, jupyterlab, notebook, terminado
171- tox==4.26.0 # via - r requirements-dev.txt, tox-current-env
189+ tox==4.26.0 # via tox-current-env, - r requirements-dev.txt
172190tox-current-env==0.0.16 # via -r requirements-dev.txt
173191tqdm==4.67.1 # via datasets, deepspeed, huggingface-hub, peft, transformers
174192traitlets==5.14.3 # via comm, ipykernel, ipython, ipywidgets, jupyter-client, jupyter-console, jupyter-core, jupyter-events, jupyter-server, jupyterlab, matplotlib-inline, nbclient, nbconvert, nbformat
175- transformers==4.52.3 # via -r requirements.txt, instructlab-dolomite, peft, trl
193+ transformers==4.52.4 # via instructlab-dolomite, peft, trl, -r requirements.txt
176194triton==3.2.0 # via liger-kernel, torch
177- trl==0.18.0 # via -r requirements.txt
195+ trl==0.18.1 # via -r requirements.txt
178196types-python-dateutil==2.9.0.20250516 # via arrow
179- typing-extensions==4.13.2 # via anyio, beautifulsoup4, huggingface-hub, ipython, pydantic, pydantic-core, referencing, torch, typing-inspection
197+ types-pyyaml==6.0.12.20250516 # via -r requirements-dev.txt
198+ types-requests==2.32.0.20250515 # via types-tqdm
199+ types-tqdm==4.67.0.20250516 # via -r requirements-dev.txt
200+ typing-extensions==4.13.2 # via anyio, beautifulsoup4, huggingface-hub, ipython, mypy, pydantic, pydantic-core, referencing, torch, typing-inspection, wandb
180201typing-inspection==0.4.1 # via pydantic
181202tzdata==2025.2 # via pandas
182203uri-template==1.3.0 # via jsonschema
183- urllib3==2.4.0 # via requests
204+ urllib3==2.4.0 # via requests, sentry-sdk, types-requests
184205virtualenv==20.31.2 # via pre-commit, tox
206+ wandb==0.19.11 # via -r requirements-dev.txt
185207wcwidth==0.2.13 # via prompt-toolkit
186208webcolors==24.11.1 # via jsonschema
187209webencodings==0.5.1 # via bleach, tinycss2
188210websocket-client==1.8.0 # via jupyter-server
211+ werkzeug==3.1.3 # via tensorboard
189212wheel==0.45.1 # via -r requirements.txt
190213widgetsnbextension==4.0.14 # via ipywidgets
191214xxhash==3.5.0 # via datasets
192215yarl==1.20.0 # via aiohttp
193- setuptools==80.9.0 # via jupyterlab
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