初始化项目，由ModelHub XC社区提供模型

Model: UKPLab/Llama3-G2C
Source: Original Platform

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README.md

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+---
+license: cc-by-sa-4.0
+datasets:
+- UKPLab/Graph2Counsel
+language:
+- en
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+pipeline_tag: text-generation
+---
+
+# Model Card for Llama3-G2C
+ 
+Llama-3-8B-Instruct fine-tuned on the [Graph2Counsel dataset](https://huggingface.co/datasets/UKPLab/Graph2Counsel) for mental health counseling dialogue generation. The model generates counselor response to a client dialogue in a multi-turn counseling dialogue.
+ 
+## Model Details
+ 
+`Base model`: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
+ 
+`Input`: A system prompt with a fixed counselor instruction, followed by the dialogue history and the client profile.
+ 
+`Output`: The next counselor turn in the therapeutic dialogue.
+ 
+`Training data`: [Graph2Counsel](https://huggingface.co/datasets/UKPLab/Graph2Counsel) — a dataset of synthetic counseling sessions grounded in CPGs derived from real counseling sessions.
+ 
+`Fine-tuning method`: QLoRA
+ 
+## Usage
+ 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+ 
+model_id = "UKPLab/Llama3-G2C"
+ 
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+ 
+system_prompt = (
+    "You are a professional counselor. Your task is to generate a natural, empathetic "
+    "and therapeutic response to the client's most recent utterance while adhering to "
+    "established psychological techniques. You are provided with the current dialogue "
+    "history and the client profile. Please be mindful to only generate the counselor "
+    "response for a single turn, and do not include extra text like \"here is the next "
+    "counselor utterance\" or \"Here is a possible next utterance\" or anything mentioning "
+    "or explaining the used technique."
+)
+ 
+history = (
+    "Counselor: What brings you in today?\n"
+    "Client: I've been feeling really anxious at work lately. "
+    "It usually happens when I have to give feedback. "
+    "I worry my comments won't be taken seriously."
+)
+ 
+profile = (
+    "Client is a 28-year-old graphic designer who overthinks interactions "
+    "with colleagues and struggles to articulate her feelings in stressful situations."
+)
+ 
+user_content = f"Dialogue History:\n{history}\nClient Profile:\n{profile}"
+ 
+messages = [
+    {"role": "system", "content": system_prompt},
+    {"role": "user",   "content": user_content},
+]
+ 
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+ 
+with torch.no_grad():
+    output = model.generate(
+        input_ids,
+        max_new_tokens=256,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.9,
+    )
+ 
+response = tokenizer.decode(output[0][input_ids.shape[-1]:], skip_special_tokens=True)
+print(response)
+```
+ 
+## Citation
+ 
+Please cite this model using:
+ 
+```bibtex
+@misc{mandal2026graph2counselclinicallygroundedsynthetic,
+      title={Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs}, 
+      author={Aishik Mandal and Hiba Arnaout and Clarissa W. Ong and Juliet Bockhorst and Kate Sheehan and Rachael Moldow and Tanmoy Chakraborty and Iryna Gurevych},
+      year={2026},
+      eprint={2604.20382},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2604.20382}, 
+}
+```
+ 
+## Contact
+ 
+For questions or feedback, please contact: [aishik.mandal@tu-darmstadt.de](mailto:aishik.mandal@tu-darmstadt.de)

config.json

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+{
+  "_name_or_path": "/storage/ukp/shared/shared_model_weights/models--llama-3/8B-Instruct/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

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+  "do_sample": true,
+  "eos_token_id": [
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+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.3"
+}

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