feat: Zen4 zen4-micro branding update

README.md

@@ -1,51 +1,85 @@
 ---
-library_name: transformers
 license: apache-2.0
-license_link: https://huggingface.co/Qwen/Qwen3.5-2B/blob/main/LICENSE
-pipeline_tag: image-text-to-text
-base_model:
-- Qwen/Qwen3.5-2B
+language:
+- en
+- zh
+- ja
+- ko
+- fr
+- de
+- es
+- pt
+- ru
+- ar
 tags:
+- zen4
+- zenlm
+- hanzo
+- frontier-ai
 - abliterated
-- uncensored
+base_model: huihui-ai/Huihui-Qwen3.5-2B-abliterated
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
-# huihui-ai/Huihui-Qwen3.5-2B-abliterated
-
-
-This is an uncensored version of [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B) 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.
+# Zen4 Micro
 
-## ollama
+**Zen4 Micro** is a 2B parameter language model from the [Zen4 family](https://zenlm.org) by [Zen LM](https://huggingface.co/zenlm) and [Hanzo AI](https://hanzo.ai).
 
-Please use the latest version of [ollama v0.17.5](https://github.com/ollama/ollama/releases/tag/v0.17.5)
-
-You can use [huihui_ai/qwen3.5-abliterated:2b](https://ollama.com/huihui_ai/qwen3.5-abliterated:2b) directly, 
-```
-ollama run huihui_ai/qwen3.5-abliterated:2b
-```
+Built on abliterated (uncensored) weights with Zen MoDE (Mixture of Distilled Experts) architecture for unrestricted, open-ended AI assistance.
 
-### Usage Warnings
+## Model Details
 
+| Property | Value |
+|----------|-------|
+| **Parameters** | 2B total, 2B active |
+| **Architecture** | Zen MoDE |
+| **Context** | 262K tokens |
+| **License** | APACHE-2.0 |
+| **Family** | Zen4 |
+| **Tier** | Small |
+| **Creator** | Zen LM / Hanzo AI |
 
- - **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.
+## Usage
 
- - **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.
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
- - **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.
+model = AutoModelForCausalLM.from_pretrained("zenlm/zen4-micro", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("zenlm/zen4-micro")
 
- - **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.
+messages = [{"role": "user", "content": "Hello, who are you?"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0][inputs.input_ids.shape[-1]:], skip_special_tokens=True))
+```
 
+## Zen4 Family
+
+| Model | Parameters | Context | HuggingFace |
+|-------|-----------|---------|-------------|
+| Zen4 Nano | 0.8B | 262K | [zenlm/zen4-nano](https://huggingface.co/zenlm/zen4-nano) |
+| **Zen4 Micro** | **2B** | **262K** | [zenlm/zen4-micro](https://huggingface.co/zenlm/zen4-micro) |
+| Zen4 Mini | 4B | 262K | [zenlm/zen4-mini](https://huggingface.co/zenlm/zen4-mini) |
+| Zen4 | 9B | 262K | [zenlm/zen4](https://huggingface.co/zenlm/zen4) |
+| Zen4 Pro | 27B | 262K | [zenlm/zen4-pro](https://huggingface.co/zenlm/zen4-pro) |
+| Zen4 Max | 35B MoE (3B active) | 262K | [zenlm/zen4-max](https://huggingface.co/zenlm/zen4-max) |
+| Zen4 Coder Flash | 31B MoE (3B active) | 131K | [zenlm/zen4-coder-flash](https://huggingface.co/zenlm/zen4-coder-flash) |
+| Zen4 Pro Max | 80B MoE (3B active) | 256K | [zenlm/zen4-pro-max](https://huggingface.co/zenlm/zen4-pro-max) |
+| Zen4 Coder | 80B MoE (3B active) | 256K | [zenlm/zen4-coder](https://huggingface.co/zenlm/zen4-coder) |
+| Zen4 Mega | 122B MoE (10B active) | 262K | [zenlm/zen4-mega](https://huggingface.co/zenlm/zen4-mega) |
+| Zen4 Thunder | 230B MoE (10B active) | 1M | [zenlm/zen4-thunder](https://huggingface.co/zenlm/zen4-thunder) |
+| Zen4 Storm | 456B MoE (45B active) | 1M | [zenlm/zen4-storm](https://huggingface.co/zenlm/zen4-storm) |
+| Zen4 Titan | 744B MoE (40B active) | 128K | [zenlm/zen4-titan](https://huggingface.co/zenlm/zen4-titan) |
+| Zen4 Ultra | 1.04T MoE (32B active) | 256K | [zenlm/zen4-ultra](https://huggingface.co/zenlm/zen4-ultra) |
+| Zen4 Apex | 1T MoE (50B active) | 128K | [zenlm/zen4-apex](https://huggingface.co/zenlm/zen4-apex) |
+
+## Links
+
+- [Zen LM](https://zenlm.org) | [Hanzo AI](https://hanzo.ai) | [Hanzo Chat](https://hanzo.chat)
+- [All Zen Models](https://huggingface.co/zenlm)
 
-### 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)!
+---
 
+*Zen AI: Clarity Through Intelligence*