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chore(model gallery): add llama-smoltalk-3.2-1b-instruct (#4285)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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- filename: Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf
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uri: huggingface://QuantFactory/Llama-Sentient-3.2-3B-Instruct-GGUF/Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf
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sha256: 3f855ce0522bfdc39fc826162ba6d89f15cc3740c5207da10e70baa3348b7812
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- !!merge <<: *llama32
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name: "llama-smoltalk-3.2-1b-instruct"
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urls:
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- https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct
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- https://huggingface.co/mradermacher/Llama-SmolTalk-3.2-1B-Instruct-GGUF
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description: |
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The Llama-SmolTalk-3.2-1B-Instruct model is a lightweight, instruction-tuned model designed for efficient text generation and conversational AI tasks. With a 1B parameter architecture, this model strikes a balance between performance and resource efficiency, making it ideal for applications requiring concise, contextually relevant outputs. The model has been fine-tuned to deliver robust instruction-following capabilities, catering to both structured and open-ended queries.
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Key Features:
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Instruction-Tuned Performance: Optimized to understand and execute user-provided instructions across diverse domains.
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Lightweight Architecture: With just 1 billion parameters, the model provides efficient computation and storage without compromising output quality.
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Versatile Use Cases: Suitable for tasks like content generation, conversational interfaces, and basic problem-solving.
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Intended Applications:
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Conversational AI: Engage users with dynamic and contextually aware dialogue.
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Content Generation: Produce summaries, explanations, or other creative text outputs efficiently.
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Instruction Execution: Follow user commands to generate precise and relevant responses.
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overrides:
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parameters:
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model: Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
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files:
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- filename: Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
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sha256: 03d8d05e3821f4caa65defa82baaff658484d4405b66546431528153ceef4d9e
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uri: huggingface://mradermacher/Llama-SmolTalk-3.2-1B-Instruct-GGUF/Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
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- &qwen25
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## Qwen2.5
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name: "qwen2.5-14b-instruct"
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