Add README.md, adapter_config.

README.md

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+---
+base_model: llava-hf/llava-1.5-7b-hf
+library_name: peft
+---
+## Usage
+
+```
+from transformers import AutoProcessor, LlavaForConditionalGeneration
+from PIL import Image
+
+PROCESSOR_ID = "llava-hf/llava-1.5-7b-hf"
+processor = AutoProcessor.from_pretrained(PROCESSOR_ID)
+processor.tokenizer.padding_side = "left"
+
+MODEL_ID = "metchee/persrv"
+tuned_model = LlavaForConditionalGeneration.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float16,
+    quantization_config=quantization_config,
+)
+
+image = Image.open(image_path).convert("RGB")
+inputs = processor(text=prompt, images=[image], return_tensors="pt").to("cuda")
+tuned_generated_ids = tuned_model.generate(**inputs, max_new_tokens=MAX_LENGTH)
+generated_texts = processor.batch_decode(generated_ids, skip_special_tokens=True)
+```
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.41.2
+- bitsandbytes 0.43.3

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "LlavaForConditionalGeneration",
+    "parent_library": "transformers.models.llava.modeling_llava"
+  },
+  "base_model_name_or_path": "llava-hf/llava-1.5-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "up_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0698d22585202efaf49c8fc5cf1030bed577d51dc0b4c0aa7d12e224ceb94f14
+size 84761704