First commit

README.md

@@ -1,3 +1,23 @@
 ---
 license: mit
+datasets:
+- magicgh/Ask-before-Plan
+language:
+- en
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+- mistralai/Mistral-7B-Instruct-v0.2
 ---
+
+# $\texttt{CEP}$ Framework 
+
+<p align="center">
+  <a href="https://arxiv.org/abs/2406.12639">Paper</a> •
+  <a href="https://huggingface.co/datasets/magicgh/Ask-before-Plan">Data</a> •
+  <a href="https://drive.google.com/file/d/1vMIhs8mpMgk33pFDv2rWg6AJNyD70Sod">Environment</a> •
+  <a href="https://github.com/magicgh/Ask-before-Plan">Code</a>
+</p>
+
+This repository contains the checkpoint for the $\texttt{CEP}$ framework in our EMNLP 2024 Paper, *Ask-before-Plan: Proactive Language Agents for Real-World Planning*. 
+
+We release our $\texttt{CEP}$ models, including LLaMA-3-8B and Mistral-7B variants, finetuned on Clarification and Execution subtasks.

clarification/llama-3-8b/adapter_config.json

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+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "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": [
+    "up_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "gate_proj",
+    "o_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

clarification/llama-3-8b/adapter_model.safetensors

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clarification/mistral-7b/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
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+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
+  "r": 64,
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+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "up_proj",
+    "k_proj",
+    "gate_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

clarification/mistral-7b/adapter_model.safetensors

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execution/llama-3-8b/adapter_config.json

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+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
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+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
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+    "k_proj",
+    "down_proj",
+    "o_proj",
+    "up_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

execution/llama-3-8b/adapter_model.safetensors

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execution/mistral-7b/adapter_config.json

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+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
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+    "down_proj",
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+    "gate_proj",
+    "k_proj"
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+  "use_dora": false,
+  "use_rslora": false
+}

execution/mistral-7b/adapter_model.safetensors

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