use latest hf-xet and don't install vllm for torch 2.7.0 (#2603)
* use latest hf-xet and don't install vllm for torch 2.7.0 * fix runpod hub tests
This commit is contained in:
2
.github/workflows/main.yml
vendored
2
.github/workflows/main.yml
vendored
@@ -30,7 +30,7 @@ jobs:
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cuda_version: 12.6.3
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python_version: "3.11"
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pytorch: 2.7.0
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axolotl_extras: vllm
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axolotl_extras:
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runs-on: axolotl-gpu-runner
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steps:
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- name: Checkout
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90
.runpod/tests.json
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90
.runpod/tests.json
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@@ -0,0 +1,90 @@
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{
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"tests": [
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{
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"name": "quick_smoke_test_sft",
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"input": {
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"user_id": "user",
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"model_id": "llama-test",
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"run_id": "llama-test",
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"credentials": {
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"wandb_api_key": "",
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"hf_token": ""
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},
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"args": {
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"base_model": "HuggingFaceTB/SmolLM2-135M",
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"model_type": "AutoModelForCausalLM",
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"tokenizer_type": "AutoTokenizer",
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"load_in_4bit": true,
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"strict": false,
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"datasets": [
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{
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"path": "mhenrichsen/alpaca_2k_test",
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"type": "alpaca",
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"split": "train[:10%]"
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}
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],
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"val_set_size": 0.02,
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"output_dir": "./outputs/lora-out",
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"sequence_len": 4096,
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"sample_packing": true,
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"eval_sample_packing": false,
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"pad_to_sequence_len": true,
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"adapter": "qlora",
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"lora_r": 32,
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"lora_target_linear": true,
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"lora_modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"gradient_accumulation_steps": 2,
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"micro_batch_size": 1,
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"num_epochs": 1,
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"optimizer": "adamw_torch_fused",
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"lr_scheduler": "cosine",
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"learning_rate": 0.0002,
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"train_on_inputs": false,
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"group_by_length": false,
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"bf16": "auto",
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"tf32": true,
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"gradient_checkpointing": true,
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"logging_steps": 1,
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"flash_attention": true,
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"warmup_steps": 1,
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"evals_per_epoch": 1,
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"eval_max_new_tokens": 128,
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"saves_per_epoch": 1,
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"weight_decay": 0.0,
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"special_tokens": {
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"pad_token": "<|endoftext|>"
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},
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"max_steps": 20
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}
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},
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"timeout": 100000
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}
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],
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"config": {
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"gpuTypeId": "NVIDIA GeForce RTX 4090",
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"gpuCount": 1,
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"containerDiskInGb": 200,
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"env": [
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{
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"key": "TOKENIZER",
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"value": ""
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},
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{
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"key": "DISABLE_LOG_STATS",
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"value": "true"
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}
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],
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"allowedCudaVersions": [
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"12.8",
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"12.7",
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"12.6",
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"12.5",
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"12.4"
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]
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}
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}
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@@ -18,7 +18,7 @@ accelerate==1.6.0
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datasets==3.5.0
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deepspeed>=0.15.4
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trl==0.17.0
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hf_xet==1.0.0
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hf_xet==1.1.0
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hqq==0.2.5
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optimum==1.16.2
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