upload model

args.json

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+{
+  "data_paths": "[/root/mycode/__cache__/__temp__/mft_inputs/source_dataset/12600004_latest.jsonl]",
+  "output_dir": "/root/mycode/__cache__/__temp__/mft_outputs/huggingface",
+  "tb_dir": "/home/admin/logs/tfevent",
+  "pretrained_model_path": "/gruntdata/code_gpt_nas/user/166675/model/base_model/codellama-7b-hf",
+  "model_type": "llama",
+  "load_raw_dataset": "True",
+  "task_weights": "[1.0]",
+  "data_weights": "[1.]",
+  "low_cpu_mem_usage": "True",
+  "data_split": "95,5,0",
+  "padding_mode": "padding",
+  "tokenize_mode": "sft",
+  "weighted_loss_mode": "case3",
+  "peft_type": "qlora",
+  "quantization": "4bit",
+  "lora_rank": "64",
+  "lora_alpha": "32",
+  "lora_dropout": "0.05",
+  "per_device_train_batch_size": "1",
+  "per_device_eval_batch_size": "1",
+  "tokenizer_type": "AutoTokenizer",
+  "learning_rate": "5e-05",
+  "min_lr": "5e-06",
+  "weight_decay": "0.1",
+  "gradient_accumulation_steps": "1",
+  "lr_scheduler_type": "cosine",
+  "num_warmup_steps": "100",
+  "num_train_epochs": "2",
+  "seed": "42",
+  "seq_length": "2048",
+  "resume_from_checkpoint": "None",
+  "log_interval": "10",
+  "checkpointing_steps": "None",
+  "evalation_steps": "500",
+  "max_train_steps": "None",
+  "epoch_checkpointing": "False",
+  "shuffle_before_split": "True",
+  "use_random_sampler": "True",
+  "early_stopping": "True",
+  "early_stopping_stall_num": "3",
+  "saving_limit": "None",
+  "use_dynamic_padding": "True",
+  "selfpaced_interval": "1",
+  "selfpaced_history_length": "400",
+  "selfpaced_sample_valid_num": "1",
+  "selfpaced_scale_factor": "50",
+  "use_xformers": "True",
+  "trust_remote_code": "True",
+  "weight_by_num_documents": "True",
+  "make_vocab_size_divisible_by": "128",
+  "model_parallel_size": "1",
+  "use_slow_tokenizer": "True",
+  "world_size": "4"
+}

config.json

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+{
+  "_name_or_path": "/gruntdata/code_gpt_nas/user/166675/model/base_model/codellama-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token": "</s>",
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token": "<unk>",
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.2",
+  "use_cache": true,
+  "vocab_size": 32016
+}

final_lora_adaptor/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+### Framework versions
+
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+
+- PEFT 0.5.0

final_lora_adaptor/adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "/gruntdata/code_gpt_nas/user/166675/model/base_model/codellama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj",
+    "down_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

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generation_config.json

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+  "bos_token_id": 1,
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+  "transformers_version": "4.33.2"
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