Yukyin
/

deepsupport-warm-lora-oss

@@ -12,43 +12,31 @@ tags:
 - conversational
 ---
-# DeepSupport Warm LoRA ❤️‍🩹
 This repository provides a LoRA adapter for DeepSupport Warm, an emotional-holding companion that offers gentle reflection and warm support without rushing into what to do next.
-- **Base model:** `Qwen/Qwen2.5-32B-Instruct`
-- **This repo:** LoRA adapter
-> Recommended: use this adapter together with the official base model.
----
 ## What it does ✨
 DeepSupport Warm is designed to help users feel held and less alone in the moment:
 - Validate and name feelings without judging
 - Stay with emotion first, before problem-solving
 - Offer gentle grounding and a small next step only if the user wants it
----
-## Quick start 🚀
 ### 1) Install
 ```bash
-pip install -U "transformers>=4.40" peft accelerate safetensors
 ```
 ### 2) Load base model and LoRA adapter
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 from peft import PeftModel
-base_id = "Qwen/Qwen2.5-32B-Instruct"
 lora_id = "Yukyin/deepsupport-warm-lora-oss"
 tokenizer = AutoTokenizer.from_pretrained(base_id, trust_remote_code=True)
@@ -87,31 +75,23 @@ with torch.no_grad():
 print(tokenizer.decode(out[0], skip_special_tokens=True))
 ```
----
 ## Training data and release notes 📊
 - This OSS LoRA adapter is trained on de-identified versions of the original data.
 - The original internal LoRA adapter was trained on non-de-identified data and cannot be open-sourced at this time.
 - More details and examples are provided in the [GitHub repo](https://github.com/Yukyin/DeepSupport).
----
 ## Safety and privacy ⚠️
 This project is intended for supportive conversation only.
 It does not provide professional advice, diagnosis, or therapy. Please seek qualified professional help when needed.
----
 ## License 📜
 This adapter is released for noncommercial use. See the [GitHub repo](https://github.com/Yukyin/DeepSupport) for the full license text and commercial licensing terms.
----
 ## Citation 📚
 ```bibtex
 @software{deepsupport_warm_2026,
   author  = {Yuyan Chen},
@@ -122,9 +102,6 @@ This adapter is released for noncommercial use. See the [GitHub repo](https://gi
 }
 ```
----
 ## Links
 - GitHub: https://github.com/Yukyin/DeepSupport
 - LoRA adapter: https://huggingface.co/Yukyin/deepsupport-warm-lora-oss

 - conversational
 ---
+# DeepSupport Warm ❤️‍🩹 - LoRA adapter
 This repository provides a LoRA adapter for DeepSupport Warm, an emotional-holding companion that offers gentle reflection and warm support without rushing into what to do next.
 ## What it does ✨
 DeepSupport Warm is designed to help users feel held and less alone in the moment:
 - Validate and name feelings without judging
 - Stay with emotion first, before problem-solving
 - Offer gentle grounding and a small next step only if the user wants it
+## Quick start 🚀
 ### 1) Install
 ```bash
+pip install transformers peft accelerate torch
 ```
 ### 2) Load base model and LoRA adapter
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 from peft import PeftModel
+base_id = "Qwen/Qwen2.5-32B-Instruct" # Base model we used. You may replace it with another compatible base model
 lora_id = "Yukyin/deepsupport-warm-lora-oss"
 tokenizer = AutoTokenizer.from_pretrained(base_id, trust_remote_code=True)
 print(tokenizer.decode(out[0], skip_special_tokens=True))
 ```
 ## Training data and release notes 📊
 - This OSS LoRA adapter is trained on de-identified versions of the original data.
 - The original internal LoRA adapter was trained on non-de-identified data and cannot be open-sourced at this time.
 - More details and examples are provided in the [GitHub repo](https://github.com/Yukyin/DeepSupport).
 ## Safety and privacy ⚠️
 This project is intended for supportive conversation only.
 It does not provide professional advice, diagnosis, or therapy. Please seek qualified professional help when needed.
 ## License 📜
 This adapter is released for noncommercial use. See the [GitHub repo](https://github.com/Yukyin/DeepSupport) for the full license text and commercial licensing terms.
 ## Citation 📚
 ```bibtex
 @software{deepsupport_warm_2026,
   author  = {Yuyan Chen},
 }
 ```
 ## Links
 - GitHub: https://github.com/Yukyin/DeepSupport
 - LoRA adapter: https://huggingface.co/Yukyin/deepsupport-warm-lora-oss