初始化项目，由ModelHub XC社区提供模型

Model: changkaiyan/ChipGPT-Llama2-SFT-7B
Source: Original Platform

verilogrepair_peft/README.md

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+---
+library_name: peft
+base_model:
+  - shakechen/Llama-2-7b-hf
+---
+# ChipGPT-FT-Repair
+
+This repository contains the code for the fine-tuning of the ChipGPT model using the PEFT library. The fine-tuning process was performed using the `bitsandbytes` quantization method.
+
+The foundation model is Llama 2.0-7B
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- 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 0.7.2.dev0
+
+- PEFT 0.6.0.dev0

verilogrepair_peft/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "../alpaca-lora/before_EDA_train_7B/",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

verilogrepair_peft/adapter_model.bin

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+size 16822989

verilogrepair_peft/adapter_model.safetensors

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+size 16794200

verilogrepair_peft/configuration.json

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+{"framework":"Pytorch","task":"text-generation"}