From 83201fb19d7997363abaee0e70274d16bab63794 Mon Sep 17 00:00:00 2001
From: Jun Siang Cheah <git@jscheah.me>
Date: Sat, 1 Feb 2025 16:09:56 +0800
Subject: [PATCH] samba: fix broken table

---
 README.md                    | 26 +++++++++++++-------------
 src/pull_available_models.py | 16 ++++++++--------
 2 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/README.md b/README.md
index 64ee97a..6177ee7 100644
--- a/README.md
+++ b/README.md
@@ -266,19 +266,7 @@ This lists various services that provide free access or credits towards API-base
     </tr>
     <tr>
         <td><a href="https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/gemini-experimental" target="_blank">Gemini 2.0 Experimental</a></td>
-    </tr></tbody></table><tr><td rowspan="12"><a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a></td><td rowspan="12">$5 for 3 months</td><td>Llama 3.1 8B</td><td>30 requests/minute</td></tr>
-<tr><td>Llama 3.1 70B</td><td>20 requests/minute</td></tr>
-<tr><td>Llama 3.1 405B</td><td>10 requests/minute</td></tr>
-<tr><td>Llama 3.2 1B</td><td>30 requests/minute</td></tr>
-<tr><td>Llama 3.2 3B</td><td>30 requests/minute</td></tr>
-<tr><td>Llama 3.2 11B</td><td>10 requests/minute</td></tr>
-<tr><td>Llama 3.2 90B</td><td>1 requests/minute</td></tr>
-<tr><td>Llama 3.3 70B</td><td>20 requests/minute</td></tr>
-<tr><td>Llama Guard 3 8B</td><td>30 requests/minute</td></tr>
-<tr><td>Qwen 2.5 72B</td><td>20 requests/minute</td></tr>
-<tr><td>Qwen 2.5 Coder 32B</td><td>20 requests/minute</td></tr>
-<tr><td>QwQ 32B Preview</td><td>10 requests/minute</td></tr>
-
+    </tr></tbody></table>
 
 ## Providers with trial credits
 
@@ -353,6 +341,18 @@ This lists various services that provide free access or credits towards API-base
 <tr><td>Qwen2-VL 7B Instruct</td></tr>
 <tr><td>Qwen2.5 72B Instruct</td></tr>
 <tr><td>Qwen2.5 Coder 32B Instruct</td></tr>
+<tr><td rowspan="12"><a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a></td><td rowspan="12">$5 for 3 months</td><td>Llama 3.1 8B</td><td>30 requests/minute</td></tr>
+<tr><td>Llama 3.1 70B</td><td>20 requests/minute</td></tr>
+<tr><td>Llama 3.1 405B</td><td>10 requests/minute</td></tr>
+<tr><td>Llama 3.2 1B</td><td>30 requests/minute</td></tr>
+<tr><td>Llama 3.2 3B</td><td>30 requests/minute</td></tr>
+<tr><td>Llama 3.2 11B</td><td>10 requests/minute</td></tr>
+<tr><td>Llama 3.2 90B</td><td>1 requests/minute</td></tr>
+<tr><td>Llama 3.3 70B</td><td>20 requests/minute</td></tr>
+<tr><td>Llama Guard 3 8B</td><td>30 requests/minute</td></tr>
+<tr><td>Qwen 2.5 72B</td><td>20 requests/minute</td></tr>
+<tr><td>Qwen 2.5 Coder 32B</td><td>20 requests/minute</td></tr>
+<tr><td>QwQ 32B Preview</td><td>10 requests/minute</td></tr>
 <tr>
             <td><a href="https://studio.ai21.com/">AI21</a></td>
             <td>$10 for 3 months</td>
diff --git a/src/pull_available_models.py b/src/pull_available_models.py
index 2340ab9..26e12a2 100644
--- a/src/pull_available_models.py
+++ b/src/pull_available_models.py
@@ -1044,17 +1044,17 @@ def main():
         trial_table += "</tr>\n"
 
     for idx, model in enumerate(samba_models):
-        table += "<tr>"
+        trial_table += "<tr>"
 
         if idx == 0:
-            table += f'<td rowspan="{len(samba_models)}">'
-            table += '<a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a>'
-            table += "</td>"
-            table += f'<td rowspan="{len(samba_models)}">$5 for 3 months</td>'
+            trial_table += f'<td rowspan="{len(samba_models)}">'
+            trial_table += '<a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a>'
+            trial_table += "</td>"
+            trial_table += f'<td rowspan="{len(samba_models)}">$5 for 3 months</td>'
 
-        table += f"<td>{model['name']}</td>"
-        table += f"<td>{get_human_limits(model)}</td>"
-        table += "</tr>\n"
+        trial_table += f"<td>{model['name']}</td>"
+        trial_table += f"<td>{get_human_limits(model)}</td>"
+        trial_table += "</tr>\n"
 
     if MISSING_MODELS:
         logger.warning("Missing models:")