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Update app.py

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  1. app.py +2 -10
app.py CHANGED
@@ -12,19 +12,11 @@ BANNER = "media/banner.png"
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  model_info = {
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  "c4ai-aya-expanse-8b": {"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.", "context": "4K", "output": "4K"},
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  "c4ai-aya-expanse-32b": {"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.", "context": "128K", "output": "4K"},
 
 
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  "command-a-03-2025": {"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.", "context": "256K", "output": "8K"},
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  "command-r7b-12-2024": {"description": "command-r7b-12-2024 is a small, fast update delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps.", "context": "128K", "output": "4K"},
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  "command-r-plus-04-2024": {"description": "Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.", "context": "128K", "output": "4K"},
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- "command-r-plus": {"description": "command-r-plus is an alias for command-r-plus-04-2024, so if you use command-r-plus in the API, that's the model you're pointing to.", "context": "128K", "output": "4K"},
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- "command-r-08-2024": {"description": "Updated Command R model from August 2024.", "context": "128K", "output": "4K"},
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- "command-r-03-2024": {"description": "Instruction-following model for code generation, RAG, and agents.", "context": "128K", "output": "4K"},
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- "command-r": {"description": "Alias for command-r-03-2024.", "context": "128K", "output": "4K"},
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- "command": {"description": "Conversational model with long context capabilities.", "context": "4K", "output": "4K"},
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- "command-nightly": {"description": "Experimental nightly build (not for production).", "context": "128K", "output": "4K"},
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- "command-light": {"description": "Faster lightweight version of command.", "context": "4K", "output": "4K"},
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- "command-light-nightly": {"description": "Experimental nightly build of command-light.", "context": "128K", "output": "4K"},
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- "c4ai-aya-vision-8b": {"description": "Aya Vision is an 8B vision-language model enabling image-based chat and analysis.", "context": "4K", "output": "4K"},
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- "c4ai-aya-vision-32b": {"description": "Aya Vision is a 32B vision-language model with advanced image understanding and reasoning.", "context": "128K", "output": "4K"}
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  }
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  with st.sidebar:
 
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  model_info = {
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  "c4ai-aya-expanse-8b": {"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.", "context": "4K", "output": "4K"},
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  "c4ai-aya-expanse-32b": {"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.", "context": "128K", "output": "4K"},
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+ "c4ai-aya-vision-8b": {"description": "Aya Vision is a state-of-the-art multimodal model excelling at a variety of critical benchmarks for language, text, and image capabilities. This 8 billion parameter variant is focused on low latency and best-in-class performance.", "context": "16K", "output": "4K"},
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+ "c4ai-aya-vision-32b": {"description": "Aya Vision is a state-of-the-art multimodal model excelling at a variety of critical benchmarks for language, text, and image capabilities. Serves 23 languages. This 32 billion parameter variant is focused on state-of-art multilingual performance.", "context": "16k", "output": "4K"},
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  "command-a-03-2025": {"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.", "context": "256K", "output": "8K"},
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  "command-r7b-12-2024": {"description": "command-r7b-12-2024 is a small, fast update delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps.", "context": "128K", "output": "4K"},
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  "command-r-plus-04-2024": {"description": "Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.", "context": "128K", "output": "4K"},
 
 
 
 
 
 
 
 
 
 
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  }
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  with st.sidebar: