Rebrand model card to TensorFold

README.md

@@ -13,6 +13,11 @@ tags:
   - 8-bit
 ---
 
+<p align="center">
+  <a href="https://tensorfold.dev">
+    <img src="https://huggingface.co/spaces/TensorFold/README/resolve/main/tensorfold-logo.png" alt="TensorFold" width="160">
+  </a>
+</p>
 
 <p align="center">
   <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100" alt="Ling logo">
@@ -92,7 +97,7 @@ Run a chat prompt directly from the Hub:
 
 ```bash
 mlx_lm.generate \
-  --model Vontra/Ling-3.0-flash-MLX-8bit \
+  --model TensorFold/Ling-3.0-flash-MLX-8bit \
   --trust-remote-code \
   --prompt "Explain why hybrid linear attention is useful." \
   --max-tokens 512 \
@@ -107,7 +112,7 @@ Thinking mode is enabled by the upstream chat template by default. It can be dis
 
 ```bash
 mlx_lm.generate \
-  --model Vontra/Ling-3.0-flash-MLX-8bit \
+  --model TensorFold/Ling-3.0-flash-MLX-8bit \
   --trust-remote-code \
   --chat-template-config '{"enable_thinking": false}' \
   --prompt "Write a short hello-world program in Swift."
@@ -118,15 +123,15 @@ To download the repository first:
 
 
 ```bash
-hf download Vontra/Ling-3.0-flash-MLX-8bit \
-  --local-dir ~/.omlx/models/Vontra/Ling-3.0-flash-MLX-8bit
+hf download TensorFold/Ling-3.0-flash-MLX-8bit \
+  --local-dir ~/.omlx/models/TensorFold/Ling-3.0-flash-MLX-8bit
 ```
 
 
 ## Using it with oMLX
 
 
-1. Place the model at `~/.omlx/models/Vontra/Ling-3.0-flash-MLX-8bit`.
+1. Place the model at `~/.omlx/models/TensorFold/Ling-3.0-flash-MLX-8bit`.
 2. Refresh the oMLX model registry.
 3. Open the model settings and enable **Trust Remote Code**.
 4. Load `Ling-3.0-flash-MLX-8bit` and use the normal chat or OpenAI-compatible endpoint.
@@ -215,14 +220,14 @@ This is a community conversion, not an official InclusionAI release. Because the
 The upstream model is released under the **MIT License**. This conversion preserves that license and is derived from [`inclusionAI/Ling-3.0-flash`](https://huggingface.co/inclusionAI/Ling-3.0-flash).
 
 
-All model design, training, and benchmark credit belongs to InclusionAI and the original contributors. The MLX conversion and compatibility adapter are provided by [Vontra](https://huggingface.co/Vontra).
+All model design, training, and benchmark credit belongs to InclusionAI and the original contributors. The MLX conversion and compatibility adapter are provided by [TensorFold](https://huggingface.co/TensorFold).
 
 
 
-<!-- vontra-chooser-start -->
+<!-- TensorFold-chooser-start -->
 ## Choose for your Mac
 
-[64GB Macs](https://huggingface.co/collections/Vontra/mlx-models-for-64gb-macs-6a9fefda17932216ec9ab457) · [128GB Macs](https://huggingface.co/collections/Vontra/mlx-models-for-128gb-macs-6a9ff0abd31bc9abbe7922d7) · [256GB Macs](https://huggingface.co/collections/Vontra/mlx-models-for-256gb-macs-6a9ff0ef9fed7c5bdca15e9b)
+[64GB Macs](https://huggingface.co/collections/TensorFold/mlx-models-for-64gb-macs-6a9fefda17932216ec9ab457) · [128GB Macs](https://huggingface.co/collections/TensorFold/mlx-models-for-128gb-macs-6a9ff0abd31bc9abbe7922d7) · [256GB Macs](https://huggingface.co/collections/TensorFold/mlx-models-for-256gb-macs-6a9ff0ef9fed7c5bdca15e9b)
 
 Published peak memory: **132.36 GB**; estimated starting tier: **256GB**, leaving about **123 GB** nominal headroom. The collections use published M3 Studio peaks with at least 25% nominal headroom; fit on other Macs is an estimate, and full context is not guaranteed. Start with short context and one request.
 
@@ -233,7 +238,7 @@ The exact tested oMLX application version is not recorded here; a library versio
 ### Quick start and demo prompt
 
 ```bash
-hf download Vontra/Ling-3.0-flash-MLX-8bit --local-dir ./models/Ling-3.0-flash-MLX-8bit
+hf download TensorFold/Ling-3.0-flash-MLX-8bit --local-dir ./models/Ling-3.0-flash-MLX-8bit
 ```
 
 Add the downloaded folder to oMLX model directories, refresh the list, and follow this card's architecture and MTP compatibility requirements before loading.
@@ -246,5 +251,5 @@ Explain why the sky looks blue in three short sentences.
 
 This is a demo prompt to try, not a recorded successful run; a captured demonstration for this documentation update is not yet available.
 
-[Follow Vontra for new Apple Silicon releases and fixes.](https://huggingface.co/Vontra)
-<!-- vontra-chooser-end -->
+[Follow TensorFold for new Apple Silicon releases and fixes.](https://huggingface.co/TensorFold)
+<!-- TensorFold-chooser-end -->