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Update app.py

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  1. app.py +10 -10
app.py CHANGED
@@ -13,6 +13,16 @@ if not os.path.exists(AI_PFP) or not os.path.exists(USER_PFP):
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  st.stop()
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  model_info = {
 
 
 
 
 
 
 
 
 
 
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  "command-a-03-2025": {
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  "description": "Command A is our most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.",
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  "context": "256K",
@@ -68,16 +78,6 @@ model_info = {
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  "context": "128K",
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  "output": "4K"
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  },
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- "c4ai-aya-expanse-8b": {
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- "description": "Aya Expanse is a highly performant 8B multilingual model, designed to rival monolingual performance through innovations in instruction tuning with data arbitrage, preference training, and model merging. Serves 23 languages.",
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- "context": "4K",
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- "output": "4K"
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- },
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- "c4ai-aya-expanse-32b": {
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- "description": "Aya Expanse is a highly performant 32B multilingual model, designed to rival monolingual performance through innovations in instruction tuning with data arbitrage, preference training, and model merging. Serves 23 languages.",
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- "context": "128K",
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- "output": "4K"
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- },
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  }
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  with st.sidebar:
 
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  st.stop()
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  model_info = {
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+ "c4ai-aya-expanse-8b": {
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+ "description": "Aya Expanse is a highly performant 8B multilingual model, designed to rival monolingual performance through innovations in instruction tuning with data arbitrage, preference training, and model merging. Serves 23 languages.",
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+ "context": "4K",
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+ "output": "4K"
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+ },
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+ "c4ai-aya-expanse-32b": {
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+ "description": "Aya Expanse is a highly performant 32B multilingual model, designed to rival monolingual performance through innovations in instruction tuning with data arbitrage, preference training, and model merging. Serves 23 languages.",
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+ "context": "128K",
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+ "output": "4K"
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+ },
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  "command-a-03-2025": {
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  "description": "Command A is our most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.",
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  "context": "256K",
 
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  "context": "128K",
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  "output": "4K"
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  },
 
 
 
 
 
 
 
 
 
 
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  }
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  with st.sidebar: