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README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: True
+- load_in_4bit: False
+- 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: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.4.0.dev0

adapter_config.json

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+{
+  "base_model_name_or_path": "yahma/llama-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": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a8d2f68cfad1b8053786403f759e7ecac6396803886afee7172135b296ab1370
+size 67201357

config.md

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+Trained using https://github.com/tloen/alpaca-lora
+with removing the lines
+
+```
+    old_state_dict = model.state_dict
+    model.state_dict = (
+        lambda self, *_, **__: get_peft_model_state_dict(
+            self, old_state_dict()
+        )
+    ).__get__(model, type(model))
+```
+
+causing problem.
+
+base_model: yahma/llama-7b-hf
+data_path: prognosis/medical_qa_alpaca
+output_dir: ./lora-alpaca
+batch_size: 128
+micro_batch_size: 8
+num_epochs: 5
+learning_rate: 0.0003
+cutoff_len: 512
+val_set_size: 0.1
+lora_r: 16
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']
+train_on_inputs: True
+add_eos_token: False
+group_by_length: True
+wandb_project: medical_alpaca_hf
+wandb_run_name: run_3
+wandb_watch: 
+wandb_log_model: 
+resume_from_checkpoint: False
+prompt template: alpaca
+
+
+### Command used 
+
+
+Finetuning 
+```
+python finetune.py     --base_model 'yahma/llama-7b-hf'     --data_path 'prognosis/medical_qa_alpaca'     --output_dir './lora-alpaca'      --wandb_project 'medical_alpaca_hf'     --wandb_run_name 'run_3'     --lora_target_modules '[q_proj,k_proj,v_proj,o_proj]'     --num_epochs 5     --cutoff_len 512     --group_by_length     --val_set_size 0.1     --lora_r=16     --micro_batch_size=8
+```
+
+Generating
+
+```
+python generate.py \
+    --load_8bit \
+    --base_model 'yahma/llama-7b-hf' \
+    --lora_weights 'alpaca-lora/lora-alpaca' \
+    --share_gradio
+ ```
+
+git lfs
+
+```   
+curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
+sudo apt-get install git-lfs
+```