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Model: UKPLab/Llama3-G2C Source: Original Platform
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README.md
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---
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license: cc-by-sa-4.0
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datasets:
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- UKPLab/Graph2Counsel
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language:
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- en
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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pipeline_tag: text-generation
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---
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# Model Card for Llama3-G2C
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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.
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## Model Details
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`Base model`: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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`Input`: A system prompt with a fixed counselor instruction, followed by the dialogue history and the client profile.
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`Output`: The next counselor turn in the therapeutic dialogue.
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`Training data`: [Graph2Counsel](https://huggingface.co/datasets/UKPLab/Graph2Counsel) — a dataset of synthetic counseling sessions grounded in CPGs derived from real counseling sessions.
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`Fine-tuning method`: QLoRA
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "UKPLab/Llama3-G2C"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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system_prompt = (
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"You are a professional counselor. Your task is to generate a natural, empathetic "
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"and therapeutic response to the client's most recent utterance while adhering to "
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"established psychological techniques. You are provided with the current dialogue "
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"history and the client profile. Please be mindful to only generate the counselor "
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"response for a single turn, and do not include extra text like \"here is the next "
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"counselor utterance\" or \"Here is a possible next utterance\" or anything mentioning "
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"or explaining the used technique."
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)
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history = (
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"Counselor: What brings you in today?\n"
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"Client: I've been feeling really anxious at work lately. "
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"It usually happens when I have to give feedback. "
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"I worry my comments won't be taken seriously."
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)
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profile = (
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"Client is a 28-year-old graphic designer who overthinks interactions "
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"with colleagues and struggles to articulate her feelings in stressful situations."
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)
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user_content = f"Dialogue History:\n{history}\nClient Profile:\n{profile}"
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_content},
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]
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input_ids = tokenizer.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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return_tensors="pt"
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).to(model.device)
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with torch.no_grad():
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output = model.generate(
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input_ids,
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max_new_tokens=256,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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)
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response = tokenizer.decode(output[0][input_ids.shape[-1]:], skip_special_tokens=True)
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print(response)
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```
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## Citation
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Please cite this model using:
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```bibtex
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@misc{mandal2026graph2counselclinicallygroundedsynthetic,
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title={Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs},
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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},
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year={2026},
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eprint={2604.20382},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2604.20382},
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}
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```
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## Contact
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For questions or feedback, please contact: [aishik.mandal@tu-darmstadt.de](mailto:aishik.mandal@tu-darmstadt.de)
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config.json
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{
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"_name_or_path": "/storage/ukp/shared/shared_model_weights/models--llama-3/8B-Instruct/",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 128256
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}
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generation_config.json
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|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|end_of_text|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user