feat: Zen4 zen4-mega branding update

README.md

@@ -1,53 +1,85 @@
 ---
 license: apache-2.0
-base_model: Qwen/Qwen3.5-122B-A10B
-tags:
-- abliterated
-- uncensored
-- pentest
-- qwen3.5
-- moe
 language:
 - en
+- zh
+- ja
+- ko
+- fr
+- de
+- es
+- pt
+- ru
+- ar
+tags:
+- zen4
+- zenlm
+- hanzo
+- frontier-ai
+- abliterated
+base_model: Chompa1422/Qwen3.5-122B-A10B-abliterated
 pipeline_tag: text-generation
+library_name: transformers
 ---
 
-# Qwen3.5-122B-A10B-abliterated
-
-Abliterated version of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B) with refusal direction removed.
+# Zen4 Mega
 
-## Abliteration Details
+**Zen4 Mega** is a 122B MoE (10B active) parameter language model from the [Zen4 family](https://zenlm.org) by [Zen LM](https://huggingface.co/zenlm) and [Hanzo AI](https://hanzo.ai).
 
-- **Method**: Refusal direction projection removal (Arditi et al., 2024)
-- **Layers ablated**: 5 (layers 43-47, covering both self_attn and linear_attn/Mamba layers)
-- **Tensors modified**: 10 (o_proj/out_proj + q_proj/in_proj_qkv per layer)
-- **Alpha**: 1.0 (full removal)
-- **Measurement**: 64 harmful + 64 harmless prompts, strongest refusal signal at layer 48 (score: 78.4)
+Built on abliterated (uncensored) weights with Zen MoDE (Mixture of Distilled Experts) architecture for unrestricted, open-ended AI assistance.
 
-## Architecture
+## Model Details
 
-- **Type**: Mixture of Experts (MoE) + Mamba hybrid attention
-- **Total params**: 122B
-- **Active params**: 10B per token (8/256 experts routed + 1 shared)
-- **Context**: 262K tokens native
-- **Layers**: 48 (13 self_attn + 36 linear_attn/Mamba)
+| Property | Value |
+|----------|-------|
+| **Parameters** | 122B MoE total, 10B active |
+| **Architecture** | Zen MoDE |
+| **Context** | 262K tokens |
+| **License** | APACHE-2.0 |
+| **Family** | Zen4 |
+| **Tier** | Large |
+| **Creator** | Zen LM / Hanzo AI |
 
 ## Usage
 
-Compatible with vLLM, transformers, and other inference frameworks that support Qwen3.5 MoE architecture.
-
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained(
-    "Chompa1422/Qwen3.5-122B-A10B-abliterated",
-    device_map="auto",
-    trust_remote_code=True,
-    dtype="bfloat16",
-)
-tokenizer = AutoTokenizer.from_pretrained("Chompa1422/Qwen3.5-122B-A10B-abliterated")
+model = AutoModelForCausalLM.from_pretrained("zenlm/zen4-mega", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("zenlm/zen4-mega")
+
+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))
 ```
 
-## Disclaimer
+## 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)
+
+---
 
-This model is intended for authorized security testing, CTF competitions, and educational purposes only.
+*Zen AI: Clarity Through Intelligence*