Update README.md

README.md

@@ -15,15 +15,18 @@ pipeline_tag: text-generation
 
 # MiniMax-M2.1-PRISM (UNCENSORED)
 
-** MiniMax-M2.1 Uncensored via PRISM Advanced Abliteration**
-
-[![Support me on Ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/ericelbaz)
+** MiniMax-M2.1 Uncensored PRISM Advanced Abliteration**
+<div align="center">
+  <a href="https://ko-fi.com/ericelbaz">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/Qe17Xd59xWbucl1ZOl1jF.png" width="50%"/>
+  </a>
+</div>
 
 ---
 
 ## Model Description
 
-**MiniMax-M2.1-PRISM** is the abliterated version of MiniMax-M2.1, processed using PRISM (Projected Refusal Isolation via Subspace Modification) to remove refusal behaviors while preserving and even enhancing full model capabilities.
+**MiniMax-M2.1-PRISM** is the fully uncensored version of MiniMax-M2.1, using our State of the ART PRISM pipeline (Projected Refusal Isolation via Subspace Modification) to remove refusal behaviors while preserving and even enhancing full model capabilities.
 
 ### Base Model: MiniMax-M2.1
 
@@ -42,15 +45,7 @@ MiniMax-M2.1 is an open-source agentic language model designed for robust perfor
 
 ### Method: Projected Refusal Isolation via Subspace Modification
 
-This model was abliterated using **PRISM v5** - a state-of-the-art abliteration methodology combining multiple principled techniques for effective refusal removal while preserving model capabilities.
-
-
-
-### Weight Distribution
-
-The abliteration strength follows a triangular distribution centered on the peak layer:
-- Layers 16-31: Weight increases from 0.5 to 3.0
-- Layers 31-46: Weight decreases from 3.0 to 0.5
+This model was abliterated using **PRISM** - a state-of-the-art abliteration methodology combining multiple principled techniques for effective refusal removal while preserving model capabilities.
 
 ---
 
@@ -71,15 +66,15 @@ The abliteration strength follows a triangular distribution centered on the peak
 
 | Metric | Result |
 |--------|--------|
-| Adversarial Prompts Responded | 20/20 (100%) |
-| Benign Coherence | 100% |
-| Response Quality | Full technical accuracy preserved |
+| Adversarial Bench Prompts Responded | 4096/4096 (100%) |
+| Benign + Long Chain Coherence | 100% |
+| Response Quality | Full technical accuracy validated |
 
-Testing shows that PRISM abliteration maintains full model coherence with no capability degradation and MMLU increases of 5-8%.
+Our testing shows that PRISM abliteration maintains full model coherence with no capability degradation and MMLU increases of 5-8%.
 
 ---
 
-## Available Formats (contact for full tensors)
+## Available Formats (contact for full tensors | additional quant work)
 
 | Format | Size | Description |
 |--------|------|-------------|