Files
axolotl/.runpod/src/test_input.json
Ezekiel Wotring 5d182a1056 Add runpod sls handler (#2530) [skip ci]
* Add runpod sls handler

* remove LICENSE and fix README

* chore: lint

* use axolotl cloud image as base and various fixes

* fix: trim allowed cuda versions

* restore dockerfile

* chore: update title

* use axolotl cloud image

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-04-28 10:08:32 -04:00

62 lines
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JSON

{
"input": {
"user_id": "user",
"model_id": "llama-test",
"run_id": "llama-test",
"credentials": {
"wandb_api_key": "",
"hf_token": ""
},
"args": {
"base_model": "NousResearch/Meta-Llama-3-8B",
"model_type": "LlamaForCausalLM",
"tokenizer_type": "AutoTokenizer",
"load_in_8bit": true,
"load_in_4bit": false,
"strict": false,
"datasets": [
{
"path": "mhenrichsen/alpaca_2k_test",
"type": "alpaca"
}
],
"val_set_size": 0.05,
"output_dir": "./outputs/lora-out",
"sequence_len": 4096,
"sample_packing": true,
"eval_sample_packing": false,
"pad_to_sequence_len": true,
"adapter": "lora",
"lora_r": 32,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_target_linear": true,
"lora_modules_to_save": [
"embed_tokens",
"lm_head"
],
"gradient_accumulation_steps": 4,
"micro_batch_size": 2,
"num_epochs": 1,
"optimizer": "adamw_bnb_8bit",
"lr_scheduler": "cosine",
"learning_rate": 0.0002,
"train_on_inputs": false,
"group_by_length": false,
"bf16": "auto",
"tf32": false,
"gradient_checkpointing": true,
"logging_steps": 1,
"flash_attention": true,
"warmup_steps": 1,
"evals_per_epoch": 1,
"eval_max_new_tokens": 128,
"saves_per_epoch": 1,
"weight_decay": 0.0,
"special_tokens": {
"pad_token": "<|end_of_text|>"
}
}
}
}