MichiganNLP
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TAMA-QWen2.5

Model card Files Files and versions

dnaihao commited on Jul 8

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README.md +4 -2

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@@ -6,7 +6,10 @@ license: apache-2.0
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-  <title>Better TAMA Models with Limited Data</title>
   <link href="https://fonts.googleapis.com/css?family=Crimson+Text:400,400italic,700,700italic|Roboto:400,700,700italic,400italic" rel="stylesheet">
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@@ -96,7 +99,6 @@ license: apache-2.0
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-  <h1>Better TAMA Models with Limited Data</h1>
   <p>
     In [<a href="#ref1">1</a>], we reveal that with limited instruction tuning data, we can achieve competitive performance on table tasks. This compact setup enables quick instruction tuning with advanced base models.
   </p>

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+  <div style="display: flex; align-items: center;">
+  <img src="https://huggingface.co/datasets/MichiganNLP/blog-images/resolve/main/tama.png" alt="TAMA Logo" width="80px" style="margin-right: 12px;">
+    <h1 style="margin: 0;">Better TAMA Models with Limited Data</h1>
+  </div>
   <link href="https://fonts.googleapis.com/css?family=Crimson+Text:400,400italic,700,700italic|Roboto:400,700,700italic,400italic" rel="stylesheet">
    <style>
     body {
   </style>
 </head>
 <body>
   <p>
     In [<a href="#ref1">1</a>], we reveal that with limited instruction tuning data, we can achieve competitive performance on table tasks. This compact setup enables quick instruction tuning with advanced base models.
   </p>