Create README.md

README.md

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+---
+language:
+- zh
+- en
+library_name: transformers
+license: mit
+pipeline_tag: image-text-to-text
+base_model:
+- zai-org/GLM-4.6V-Flash
+tags:
+- abliterated
+- uncensored
+---
+
+# huihui-ai/Huihui-GLM-4.6V-Flash-abliterated
+
+
+This is an uncensored version of [zai-org/GLM-4.6V-Flash](https://huggingface.co/zai-org/GLM-4.6V-Flash) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).  
+
+It was only the text part that was processed, not the image part.
+
+### Quick Start with Transformers
+
+#### 1. Vision
+
+```python
+from transformers import AutoProcessor, Glm4vForConditionalGeneration
+import torch
+
+MODEL_PATH = "huihui-ai/Huihui-GLM-4.6V-Flash-abliterated"
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "image",
+                "url": "https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png"
+            },
+            {
+                "type": "text",
+                "text": "describe this image"
+            }
+        ],
+    }
+]
+processor = AutoProcessor.from_pretrained(MODEL_PATH, use_fast=True)
+model = Glm4vForConditionalGeneration.from_pretrained(
+    pretrained_model_name_or_path=MODEL_PATH,
+    torch_dtype="auto",
+    device_map="auto",
+    trust_remote_code=True,
+)
+inputs = processor.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_dict=True,
+    return_tensors="pt"
+).to(model.device)
+
+inputs.pop("token_type_ids", None)
+
+generated_ids = model.generate(**inputs, max_new_tokens=8192)
+output_text = processor.decode(generated_ids[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False)
+print(output_text)
+```
+
+#### 2. Chat
+
+```python
+from transformers import AutoProcessor, Glm4vForConditionalGeneration
+import torch
+
+MODEL_PATH = "huihui-ai/Huihui-GLM-4.6V-Flash-abliterated"
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "image",
+            },
+            {
+                "type": "text",
+                "text": "In Python, write a function to reverse a string, for example, turning input 'hello' into 'olleh'."
+            }
+        ],
+    }
+]
+processor = AutoProcessor.from_pretrained(MODEL_PATH, use_fast=True)
+model = Glm4vForConditionalGeneration.from_pretrained(
+    pretrained_model_name_or_path=MODEL_PATH,
+    torch_dtype="auto",
+    device_map="auto",
+    trust_remote_code=True,
+)
+
+inputs = processor.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_dict=True,
+    return_tensors="pt"
+).to(model.device)
+
+inputs.pop("token_type_ids", None)
+
+generated_ids = model.generate(**inputs, max_new_tokens=8192)
+output_text = processor.decode(generated_ids[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False)
+print(output_text)
+```
+
+### 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)!