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Model: huihui-ai/Huihui-MiniCPM5-1B-abliterated
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+  - en
+  - zh
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- minicpm
+- minicpm5
+- llama
+- text-generation
+- long-context
+- tool-calling
+- on-device
+- edge-ai
+- abliterated
+- uncensored
+base_model:
+- openbmb/MiniCPM5-1B
+---
+
+# huihui-ai/Huihui-MiniCPM5-1B-abliterated
+
+
+This is an uncensored version of [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
+This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
+
+## Usage
+You can use this model in your applications by loading it with Hugging Face's `transformers` library:
+
+```bash
+pip install -U "transformers>=5.6" accelerate torch
+```
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model_id = "huihui-ai/Huihui-MiniCPM5-1B-abliterated"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+messages = [{"role": "user", "content": "Who are you? Please briefly introduce yourself."}]
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    enable_thinking=False,
+    return_dict=True,
+    return_tensors="pt",
+).to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=128)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))
+```
+
+### Usage Warnings
+
+
+ - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
+
+ - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.
+
+ - **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.
+
+ - **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.
+
+ - **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.
+
+ - **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.
+
+
+### Donation
+##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
+- bitcoin:
+```
+  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
+```
+- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!
+