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- ## Updated Files for Model Uploads 🤗
 
 
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  | File Name [ Updated Files ] | Size | Description | Upload Status |
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  |----------------------------|-----------|--------------------------------------------|----------------|
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  |------------|------|----------------|------|
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  | GGUF | 1B | - | [🤗 Llama-SmolTalk-3.2-1B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct-GGUF) |
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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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  1. **Instruction-Tuned Performance**: Optimized to understand and execute user-provided instructions across diverse domains.
 
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+ ## Llama-SmolTalk-3.2-1B-Instruct Model File
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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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  | File Name [ Updated Files ] | Size | Description | Upload Status |
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  |----------------------------|-----------|--------------------------------------------|----------------|
 
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  |------------|------|----------------|------|
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  | GGUF | 1B | - | [🤗 Llama-SmolTalk-3.2-1B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct-GGUF) |
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  ### Key Features:
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  1. **Instruction-Tuned Performance**: Optimized to understand and execute user-provided instructions across diverse domains.