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  license: llama3.2
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  base_model:
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  - meta-llama/Llama-3.2-1B
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: llama3.2
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  base_model:
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  - meta-llama/Llama-3.2-1B
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+ ---
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+ Here’s a **professional `README.md`** for **Open4bits/llama3.2-1b-gguf**, styled like your Whisper Tiny example:
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+
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+ ---
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+
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+ # Open4bits / llama3.2-1b-gguf
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+ This repository provides the **LLaMA 3.2-1B model converted to GGUF format**, published by Open4bits to enable highly efficient local inference with reduced memory usage and broad CPU compatibility.
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+
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+ The underlying LLaMA 3.2 model and architecture are **owned by Meta AI**. This repository contains only a quantized GGUF conversion of the original model weights.
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+ The model is designed for fast, lightweight text generation and instruction-following tasks and is well suited for resource-constrained environments.
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+
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+ ---
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+
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+ ## Model Overview
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+
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+ LLaMA (Large Language Model Meta AI) is a family of transformer-based language models developed by Meta AI.
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+ This release uses the **3.2 variant with 1 billion parameters**, striking a balance between performance and efficiency.
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+
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+ ---
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+
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+ ## Model Details
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+
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+ * **Architecture:** LLaMA 3.2
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+ * **Parameters:** ~1 billion
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+ * **Format:** GGUF (quantized)
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+ * **Task:** Text generation, instruction following
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+ * **Weight tying:** Preserved
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+ * **Compatibility:** GGUF-compatible inference runtimes (CPU-focused)
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+
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+ Compared to larger LLaMA variants, this model offers significantly faster inference with lower memory requirements, with proportionally reduced capacity for complex reasoning.
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+
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+ ---
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+
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+ ## Intended Use
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+
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+ This model is intended for:
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+ * Local text generation and chat applications
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+ * CPU-based or low-resource deployments
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+ * Research, experimentation, and prototyping
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+ * Offline or self-hosted AI systems
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+
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+ ---
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+
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+ ## Limitations
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+ * Lower generation quality compared to larger LLaMA 3.2 models
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+ * Output quality depends on prompt design and decoding settings
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+ * Not fine-tuned for domain-specific or high-precision tasks
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+
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+ ---
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+
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+ ## License
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+
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+ This model is released under the **original LLaMA 3.2 license terms** as defined by Meta AI.
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+ Users must comply with the licensing conditions of the base LLaMA 3.2-1B model.
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+
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+ ---
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+
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+ ## Support
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+ If you find this model useful, please consider supporting the project.
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+ Your support helps Open4bits continue releasing and maintaining high-quality open models for the community.