From 4627c8f315cfca49c55cdd36e991f0a7bb534df7 Mon Sep 17 00:00:00 2001
From: Jun Siang Cheah <git@jscheah.me>
Date: Sun, 18 May 2025 19:21:13 +0100
Subject: [PATCH] updates

---
 README.md                    | 5 +++--
 src/pull_available_models.py | 7 ++++---
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index bf5de8b..6e2bfe8 100644
--- a/README.md
+++ b/README.md
@@ -98,13 +98,13 @@ Models share a common quota.
 - [Qwen 2.5 VL 3B Instruct](https://openrouter.ai/qwen/qwen2.5-vl-3b-instruct:free)
 - [Qwen 2.5 VL 7B Instruct](https://openrouter.ai/qwen/qwen-2.5-vl-7b-instruct:free)
 - [Qwen QwQ 32B](https://openrouter.ai/qwen/qwq-32b:free)
-- [Qwen QwQ 32B Preview](https://openrouter.ai/qwen/qwq-32b-preview:free)
 - [Qwen2.5 Coder 32B Instruct](https://openrouter.ai/qwen/qwen-2.5-coder-32b-instruct:free)
 - [Qwen2.5 VL 72B Instruct](https://openrouter.ai/qwen/qwen2.5-vl-72b-instruct:free)
 - [Reka Flash 3](https://openrouter.ai/rekaai/reka-flash-3:free)
 - [Shisa V2 Llama 3.3 70B](https://openrouter.ai/shisa-ai/shisa-v2-llama3.3-70b:free)
 - [deepseek/deepseek-prover-v2:free](https://openrouter.ai/deepseek/deepseek-prover-v2:free)
 - [meta-llama/llama-3.1-405b:free](https://openrouter.ai/meta-llama/llama-3.1-405b:free)
+- [meta-llama/llama-3.3-8b-instruct:free](https://openrouter.ai/meta-llama/llama-3.3-8b-instruct:free)
 - [microsoft/mai-ds-r1:free](https://openrouter.ai/microsoft/mai-ds-r1:free)
 - [microsoft/phi-4-reasoning-plus:free](https://openrouter.ai/microsoft/phi-4-reasoning-plus:free)
 - [microsoft/phi-4-reasoning:free](https://openrouter.ai/microsoft/phi-4-reasoning:free)
@@ -136,7 +136,7 @@ Data is used for training when used outside of the UK/CH/EEA/EU.
 <tr><td>Gemini 2.0 Flash (Experimental)</td><td>250,000 tokens/minute<br>500 requests/day<br>10 requests/minute</td></tr>
 <tr><td>Gemini 1.5 Flash</td><td>250,000 tokens/minute<br>500 requests/day<br>15 requests/minute</td></tr>
 <tr><td>Gemini 1.5 Flash-8B</td><td>250,000 tokens/minute<br>500 requests/day<br>15 requests/minute</td></tr>
-<tr><td>LearnLM 1.5 Pro (Experimental)</td><td>1,500 requests/day<br>15 requests/minute</td></tr>
+<tr><td>LearnLM 2.0 Flash (Experimental)</td><td>1,500 requests/day<br>15 requests/minute</td></tr>
 <tr><td>Gemma 3 27B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
 <tr><td>Gemma 3 12B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
 <tr><td>Gemma 3 4B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
@@ -186,6 +186,7 @@ HuggingFace Serverless Inference limited to models smaller than 10GB. Some popul
 Free tier restricted to 8K context.
 
 <table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>
+<tr><td>Qwen 3 32B</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Llama 4 Scout</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Llama 3.1 8B</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Llama 3.3 70B</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
diff --git a/src/pull_available_models.py b/src/pull_available_models.py
index b22ffff..7cf0078 100644
--- a/src/pull_available_models.py
+++ b/src/pull_available_models.py
@@ -624,9 +624,9 @@ def main():
             "limits": gemini_models.get("gemini-1.5-flash-8b", {}),
         },
         {
-            "id": "learnlm-1.5-pro-experimental",
-            "name": "LearnLM 1.5 Pro (Experimental)",
-            "limits": gemini_models.get("learnlm-1.5-pro-experimental", {}),
+            "id": "learnlm-2.0-flash-experimental",
+            "name": "LearnLM 2.0 Flash (Experimental)",
+            "limits": gemini_models.get("learnlm-2.0-flash-experimental", {}),
         },
         {
             "id": "gemma-3-27b-it",
@@ -725,6 +725,7 @@ def main():
     model_list_markdown += "<table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>\n"
     cerebras_limit_text = "30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day"
     cerebras_models = [
+        {"name": "Qwen 3 32B", "limits_text": cerebras_limit_text},
         {"name": "Llama 4 Scout", "limits_text": cerebras_limit_text},
         {"name": "Llama 3.1 8B", "limits_text": cerebras_limit_text},
         {"name": "Llama 3.3 70B", "limits_text": cerebras_limit_text},