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README.md

@@ -12,18 +12,18 @@ tags:
 - quantized
 ---
 
-# LTX-2 19B Dev (4-bit) - MLX
+# LTX-2 19B Dev (8-bit) - MLX
 
-This is a 4-bit quantized version of the [LTX-2 19B Dev](https://huggingface.co/Lightricks/LTX-2) model, optimized for Apple Silicon using MLX.
+This is a 8-bit quantized version of the [LTX-2 19B Dev](https://huggingface.co/Lightricks/LTX-2) model, optimized for Apple Silicon using MLX.
 
 ## Model Description
 
-LTX-2 is a state-of-the-art video generation model from Lightricks. This version has been quantized to 4-bit precision for efficient inference on Apple Silicon devices with MLX.
+LTX-2 is a state-of-the-art video generation model from Lightricks. This version has been quantized to 8-bit precision for efficient inference on Apple Silicon devices with MLX.
 
 ### Key Features
 
 - **Pipeline**: Dev (full control with CFG scale)
-- **Quantization**: 4-bit precision
+- **Quantization**: 8-bit precision
 - **Framework**: MLX (Apple Silicon optimized)
 - **Memory**: ~19GB VRAM required
 
@@ -40,14 +40,14 @@ pip install git+https://github.com/CharafChnioune/mlx-video.git
 ```bash
 # Basic generation
 mlx-video --prompt "A beautiful sunset over the ocean" \
-    --model-repo AITRADER/ltx2-dev-4bit-mlx \
+    --model-repo AITRADER/ltx2-dev-8bit-mlx \
     --pipeline dev \
     --height 512 --width 512 \
     --num-frames 33
 
 # Dev pipeline with CFG
 mlx-video --prompt 'A cat playing with yarn' \\
-    --model-repo AITRADER/ltx2-dev-4bit-mlx \\
+    --model-repo AITRADER/ltx2-dev-8bit-mlx \\
     --pipeline dev \\
     --steps 40 --cfg-scale 4.0
 ```
@@ -59,7 +59,7 @@ from mlx_video import generate_video
 
 video = generate_video(
     prompt="A beautiful sunset over the ocean",
-    model_repo="AITRADER/ltx2-dev-4bit-mlx",
+    model_repo="AITRADER/ltx2-dev-8bit-mlx",
     pipeline="dev",
     height=512,
     width=512,
@@ -69,7 +69,7 @@ video = generate_video(
 
 ## Model Files
 
-- `ltx-2-19b-dev-mlx.safetensors` - Main model weights (4-bit quantized)
+- `ltx-2-19b-dev-mlx.safetensors` - Main model weights (8-bit quantized)
 - `quantization.json` - Quantization configuration
 - `config.json` - Model configuration
 - `layer_report.json` - Layer information