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171 KiB
171 KiB
Important!¶
Before starting, make sure you have selected GPU runtime : Runtime -> Change runtime type -> GPU (T4)!
Change the model to link to your dataset. Upload the dataset as output.jsonl in the root tree and edit the model file (model.yml) with:
# local
datasets:
- path: /content/output.jsonl
ds_type: json
type: completion
A full example:
base_model: openlm-research/open_llama_3b_v2 model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: false load_in_4bit: true strict: false push_dataset_to_hub: false datasets: - path: /content/output.jsonl ds_type: json type: completion dataset_prepared_path: val_set_size: 0.05 adapter: qlora lora_model_dir: sequence_len: 1024 sample_packing: true lora_r: 8 lora_alpha: 32 lora_dropout: 0.05 lora_target_modules: lora_target_linear: true lora_fan_in_fan_out: wandb_project: wandb_entity: wandb_watch: wandb_run_id: wandb_log_model: output_dir: ./qlora-out gradient_accumulation_steps: 1 micro_batch_size: 2 num_epochs: 4 optimizer: paged_adamw_32bit torchdistx_path: lr_scheduler: cosine learning_rate: 0.0002 train_on_inputs: false group_by_length: false bf16: false fp16: true tf32: false gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: false gptq_groupsize: gptq_model_v1: warmup_steps: 20 eval_steps: 0.05 save_steps: debug: deepspeed: weight_decay: 0.1 fsdp: fsdp_config: special_tokens: bos_token: "<s>" eos_token: "</s>" unk_token: "<unk>"
In [1]:
# Install axolotl !git clone https://github.com/OpenAccess-AI-Collective/axolotl && cd axolotl && git checkout 797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a #0.3.0 !cd axolotl !pip install packaging !cd axolotl && pip install -e '.[flash-attn,deepspeed]'
Cloning into 'axolotl'...
remote: Enumerating objects: 7525, done.
remote: Counting objects: 100% (1726/1726), done.
remote: Compressing objects: 100% (385/385), done.
remote: Total 7525 (delta 1525), reused 1409 (delta 1319), pack-reused 5799
Receiving objects: 100% (7525/7525), 2.64 MiB | 10.52 MiB/s, done.
Resolving deltas: 100% (4854/4854), done.
Note: switching to '797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a'.
You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.
If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:
git switch -c <new-branch-name>
Or undo this operation with:
git switch -
Turn off this advice by setting config variable advice.detachedHead to false
HEAD is now at 797f3dd don't train if eval split is too small (#873)
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Preparing metadata (setup.py) ... done
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Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4.0.0,>=3.7.1->fastapi->fschat==0.2.29->axolotl==0.3.0) (1.1.3)
Collecting jmespath<2.0.0,>=0.7.1 (from botocore<1.31.18,>=1.31.17->aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)
Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)
Collecting urllib3<3,>=1.21.1 (from requests->bert-score==0.3.13->axolotl==0.3.0)
Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.8/143.8 kB 19.1 MB/s eta 0:00:00
Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb->axolotl==0.3.0)
Downloading smmap-5.0.1-py3-none-any.whl (24 kB)
Requirement already satisfied: googleapis-common-protos<2.0.dev0,>=1.56.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.61.0)
Requirement already satisfied: google-crc32c<2.0dev,>=1.0 in /usr/local/lib/python3.10/dist-packages (from google-resumable-media>=2.3.2->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.5.0)
Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (2023.11.1)
Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.31.0)
Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.12.0)
Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (0.1.2)
Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth>=1.2->gcsfs->axolotl==0.3.0) (0.5.0)
Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib->gcsfs->axolotl==0.3.0) (3.2.2)
Collecting svgwrite (from wavedrom->markdown2[all]->fschat==0.2.29->axolotl==0.3.0)
Downloading svgwrite-1.4.3-py3-none-any.whl (67 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 67.1/67.1 kB 10.5 MB/s eta 0:00:00
Building wheels for collected packages: optimum, rouge-score, flash-attn, deepspeed, fire, ffmpy, wavedrom, lit
Building wheel for optimum (pyproject.toml) ... done
Created wheel for optimum: filename=optimum-1.13.2-py3-none-any.whl size=395598 sha256=c50241754999443c85c875c140c77aa5bf3a40f56a5ffd196d1f3c5199609431
Stored in directory: /root/.cache/pip/wheels/6e/b7/2c/79405d98f0943373d8546daeae25a3d377f7659ca0cbe48699
Building wheel for rouge-score (setup.py) ... done
Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=cc9084a7eefdb136724effd732f6cb7c0fd01f0d7c9e7852043f1cd1d23b45a9
Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
Building wheel for flash-attn (setup.py) ... done
Created wheel for flash-attn: filename=flash_attn-2.3.3-cp310-cp310-linux_x86_64.whl size=57075008 sha256=bcb63b64213ab61590b340b77de84e448a442e19c100480895194df39ad7673d
Stored in directory: /root/.cache/pip/wheels/e5/e6/fa/941802ec61d1afd320d27160ab1db98e6dba65381f84b76d4a
Building wheel for deepspeed (setup.py) ... done
Created wheel for deepspeed: filename=deepspeed-0.12.3-py3-none-any.whl size=1279165 sha256=e678c7b56fa15c9218f88c9a8a48728bee271215c554abcb4049f609e47adb25
Stored in directory: /root/.cache/pip/wheels/ee/2b/c5/892ceee06964ce8aa2a98d4260848d0d9a3f1e743862e4b45a
Building wheel for fire (setup.py) ... done
Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116933 sha256=2e829d74a791417c18e5d80016d0125dc65481ae4577bfd4041e51aa64558256
Stored in directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95
Building wheel for ffmpy (setup.py) ... done
Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=dd713b1fe6d28ec101c96dbf7033241901635fcddd42a07d9e97fafada70eca4
Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf
Building wheel for wavedrom (setup.py) ... done
Created wheel for wavedrom: filename=wavedrom-2.0.3.post3-py2.py3-none-any.whl size=30053 sha256=65b629500b343fc851f1c23dd2065fa414153974ae25603bba9f99e559ecbf8c
Stored in directory: /root/.cache/pip/wheels/9c/52/8c/38b454b42f712f325e26f633287484c7dc1ad469e1580c5954
Building wheel for lit (pyproject.toml) ... done
Created wheel for lit: filename=lit-17.0.5-py3-none-any.whl size=93256 sha256=209fa0a842c16d9479d3626694714ebd0b9f4afaaacf487e3fb92d19ecfa9fcf
Stored in directory: /root/.cache/pip/wheels/1c/87/8e/5a42c0d4be23362b68bbff33b17f3c35a3df44f1cd2f5a24b4
Successfully built optimum rouge-score flash-attn deepspeed fire ffmpy wavedrom lit
Installing collected packages: sentencepiece, pydub, ninja, nh3, lit, hjson, ffmpy, bitsandbytes, addict, websockets, urllib3, typing-extensions, svgwrite, smmap, shortuuid, setproctitle, semantic-version, rouge, python-multipart, pynvml, pyarrow-hotfix, orjson, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numpy, markdown2, jmespath, humanfriendly, hf_transfer, h11, fire, einops, docker-pycreds, dill, colorama, art, aioitertools, aiofiles, wavedrom, uvicorn, starlette, sentry-sdk, rouge-score, nvidia-cusolver-cu11, nvidia-cudnn-cu11, multiprocess, httpcore, gitdb, gekko, coloredlogs, botocore, tiktoken, responses, huggingface-hub, httpx, GitPython, fastapi, aiobotocore, wandb, tokenizers, s3fs, gradio-client, fschat, datasets, transformers, gradio, evaluate, triton, torch, accelerate, peft, xformers, optimum, bert-score, auto-gptq, flash-attn, deepspeed, axolotl
Attempting uninstall: urllib3
Found existing installation: urllib3 2.0.7
Uninstalling urllib3-2.0.7:
Successfully uninstalled urllib3-2.0.7
Attempting uninstall: typing-extensions
Found existing installation: typing_extensions 4.5.0
Uninstalling typing_extensions-4.5.0:
Successfully uninstalled typing_extensions-4.5.0
Attempting uninstall: numpy
Found existing installation: numpy 1.23.5
Uninstalling numpy-1.23.5:
Successfully uninstalled numpy-1.23.5
Attempting uninstall: huggingface-hub
Found existing installation: huggingface-hub 0.19.3
Uninstalling huggingface-hub-0.19.3:
Successfully uninstalled huggingface-hub-0.19.3
Attempting uninstall: tokenizers
Found existing installation: tokenizers 0.15.0
Uninstalling tokenizers-0.15.0:
Successfully uninstalled tokenizers-0.15.0
Attempting uninstall: transformers
Found existing installation: transformers 4.35.2
Uninstalling transformers-4.35.2:
Successfully uninstalled transformers-4.35.2
Attempting uninstall: triton
Found existing installation: triton 2.1.0
Uninstalling triton-2.1.0:
Successfully uninstalled triton-2.1.0
Attempting uninstall: torch
Found existing installation: torch 2.1.0+cu118
Uninstalling torch-2.1.0+cu118:
Successfully uninstalled torch-2.1.0+cu118
Running setup.py develop for axolotl
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
lida 0.0.10 requires kaleido, which is not installed.
llmx 0.0.15a0 requires cohere, which is not installed.
llmx 0.0.15a0 requires openai, which is not installed.
cupy-cuda11x 11.0.0 requires numpy<1.26,>=1.20, but you have numpy 1.26.2 which is incompatible.
tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.8.0 which is incompatible.
torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.
torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.
torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.
torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.
Successfully installed GitPython-3.1.40 accelerate-0.24.1 addict-2.4.0 aiobotocore-2.5.4 aiofiles-23.2.1 aioitertools-0.11.0 art-6.1 auto-gptq-0.5.1 axolotl-0.3.0 bert-score-0.3.13 bitsandbytes-0.41.2.post2 botocore-1.31.17 colorama-0.4.6 coloredlogs-15.0.1 datasets-2.14.7 deepspeed-0.12.3 dill-0.3.7 docker-pycreds-0.4.0 einops-0.7.0 evaluate-0.4.0 fastapi-0.104.1 ffmpy-0.3.1 fire-0.5.0 flash-attn-2.3.3 fschat-0.2.29 gekko-1.0.6 gitdb-4.0.11 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 hf_transfer-0.1.4 hjson-3.1.0 httpcore-1.0.2 httpx-0.25.1 huggingface-hub-0.17.3 humanfriendly-10.0 jmespath-1.0.1 lit-17.0.5 markdown2-2.4.10 multiprocess-0.70.15 nh3-0.2.14 ninja-1.11.1.1 numpy-1.26.2 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 optimum-1.13.2 orjson-3.9.10 peft-0.6.0 pyarrow-hotfix-0.5 pydub-0.25.1 pynvml-11.5.0 python-multipart-0.0.6 responses-0.18.0 rouge-1.0.1 rouge-score-0.1.2 s3fs-2023.6.0 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.35.0 setproctitle-1.3.3 shortuuid-1.0.11 smmap-5.0.1 starlette-0.27.0 svgwrite-1.4.3 tiktoken-0.5.1 tokenizers-0.14.1 torch-2.0.1 transformers-4.35.1 triton-2.0.0 typing-extensions-4.8.0 urllib3-1.26.18 uvicorn-0.24.0.post1 wandb-0.16.0 wavedrom-2.0.3.post3 websockets-11.0.3 xformers-0.0.22
In [2]:
!accelerate config default
accelerate configuration saved at /root/.cache/huggingface/accelerate/default_config.yaml
In [3]:
!pip install accelerate bitsandbytes !pwd
Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.24.1) Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.41.2.post2) Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.2) Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2) Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5) Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1) Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1) Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.17.3) Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.8.0) Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12) Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1) Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2) Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99) Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99) Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.101) Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (8.5.0.96) Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.10.3.66) Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.9.0.58) Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.2.10.91) Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.4.0.1) Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.4.91) Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.14.3) Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.91) Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.0.0) Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (67.7.2) Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (0.41.3) Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (3.27.7) Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (17.0.5) Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2023.6.0) Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0) Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1) Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3) Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2) Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4) Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (1.26.18) Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22) Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0) /content
In [4]:
import torch torch.cuda.is_available()
Out[4]:
True
In [5]:
!pip install --upgrade transformers
Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.1)
Collecting transformers
Downloading transformers-4.35.2-py3-none-any.whl (7.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.9/7.9 MB 24.5 MB/s eta 0:00:00
Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)
Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.17.3)
Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.2)
Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)
Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)
Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)
Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)
Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.14.1)
Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.0)
Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)
Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (2023.6.0)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (4.8.0)
Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)
Installing collected packages: transformers
Attempting uninstall: transformers
Found existing installation: transformers 4.35.1
Uninstalling transformers-4.35.1:
Successfully uninstalled transformers-4.35.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
axolotl 0.3.0 requires transformers==4.35.1, but you have transformers 4.35.2 which is incompatible.
Successfully installed transformers-4.35.2
In [6]:
# https://github.com/oobabooga/text-generation-webui/issues/4238 !pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
Collecting flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE
Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (30.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.0/30.0 MB 46.0 MB/s eta 0:00:00
Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.0.1)
Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (0.7.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (23.2)
Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.11.1.1)
Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.13.1)
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Installing collected packages: flash-attn
Attempting uninstall: flash-attn
Found existing installation: flash-attn 2.3.3
Uninstalling flash-attn-2.3.3:
Successfully uninstalled flash-attn-2.3.3
Successfully installed flash-attn-2.3.0
Start the training process (fine-tuning)
In [ ]:
!accelerate launch -m axolotl.cli.train model.yml --load_in_8bit=False
2023-11-18 10:15:30.581758: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-11-18 10:15:30.581829: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-11-18 10:15:30.581870: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-11-18 10:15:32.302565: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/usr/local/lib/python3.10/dist-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
warnings.warn(
dP dP dP
88 88 88
.d8888b. dP. .dP .d8888b. 88 .d8888b. d8888P 88
88' `88 `8bd8' 88' `88 88 88' `88 88 88
88. .88 .d88b. 88. .88 88 88. .88 88 88
`88888P8 dP' `dP `88888P' dP `88888P' dP dP
[2023-11-18 10:15:36,028] [WARNING] [axolotl.validate_config:169] [PID:4655] [RANK:0] eval_batch_size != micro_batch_size. This can lead to VRAM instability.
[2023-11-18 10:15:36,239] [INFO] [axolotl.normalize_config:128] [PID:4655] [RANK:0] GPU memory usage baseline: 0.000GB (+0.255GB misc)
[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_accelerate_default_config:343] [PID:4655] [RANK:0] accelerate config file found at /root/.cache/huggingface/accelerate/default_config.yaml. This can lead to unexpected errors
[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_user_token:355] [PID:4655] [RANK:0] Error verifying HuggingFace token. Remember to log in using `huggingface-cli login` and get your access token from https://huggingface.co/settings/tokens if you want to use gated models or datasets.
[2023-11-18 10:15:36,594] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / </s>
[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / <s>
[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / <unk>
[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / <unk>
[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:147] [PID:4655] [RANK:0] Unable to find prepared dataset in last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af
[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:148] [PID:4655] [RANK:0] Loading raw datasets...
[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:153] [PID:4655] [RANK:0] No seed provided, using default seed of 42
Map (num_proc=2): 100% 846/846 [00:00<00:00, 991.41 examples/s]
[2023-11-18 10:15:37,890] [INFO] [axolotl.load_tokenized_prepared_datasets:355] [PID:4655] [RANK:0] merging datasets
[2023-11-18 10:15:37,892] [INFO] [axolotl.load_tokenized_prepared_datasets:362] [PID:4655] [RANK:0] Saving merged prepared dataset to disk... last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af
Saving the dataset (1/1 shards): 100% 846/846 [00:00<00:00, 118881.71 examples/s]
Filter (num_proc=2): 100% 803/803 [00:00<00:00, 3171.26 examples/s]
Filter (num_proc=2): 100% 43/43 [00:00<00:00, 301.68 examples/s]
Map (num_proc=2): 100% 803/803 [00:00<00:00, 2783.35 examples/s]
[2023-11-18 10:15:38,745] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_tokens: 77893
[2023-11-18 10:15:38,753] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] `total_supervised_tokens: 77893`
[2023-11-18 10:15:44,265] [INFO] [axolotl.utils.samplers.multipack._len_est:178] [PID:4655] [RANK:0] packing_efficiency_estimate: 1.0 total_num_tokens per device: 77893
[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] data_loader_len: 8
[2023-11-18 10:15:44,265] [INFO] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est across ranks: [0.95084228515625]
[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est: 0.96
[2023-11-18 10:15:44,266] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_steps: 32
[2023-11-18 10:15:44,266] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading tokenizer... NousResearch/Llama-2-7b-hf
[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / </s>
[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / <s>
[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / <unk>
[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / <unk>
[2023-11-18 10:15:44,630] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading model and peft_config...
[2023-11-18 10:15:44,713] [INFO] [axolotl.load_model:201] [PID:4655] [RANK:0] patching _expand_mask
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In [ ]:
!python3 -m axolotl.cli.merge_lora model.yml --lora_model_dir="./qlora-out" --load_in_8bit=False --load_in_4bit=False
In [ ]:
!git clone https://github.com/ggerganov/llama.cpp.git !cd llama.cpp && make LLAMA_CUBLAS=1
In [ ]:
# We need to convert the pytorch model into ggml for quantization # It crates 'ggml-model-f16.bin' in the 'merged' directory. !cd llama.cpp && python convert.py --outtype f16 \ /content/qlora-out/merged/pytorch_model-00001-of-00002.bin
In [ ]:
# Start off by making a basic q4_0 4-bit quantization. # It's important to have 'ggml' in the name of the quant for some # software to recognize it's file format. !cd llama.cpp && ./quantize /content/qlora-out/merged/ggml-model-f16.gguf \ /content/custom-model-q4_0.bin q4_0