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README.md
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---
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base_model: efficientscaling/Z1-7B
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library_name: transformers
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license: mit
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metrics:
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- accuracy
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pipeline_tag: text-generation
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tags:
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- llama-cpp
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- matrixportal
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---
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- **Base model:** [efficientscaling/Z1-7B](https://huggingface.co/efficientscaling/Z1-7B)
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- **License:** [MIT](https://opensource.org/licenses/MIT)
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Quantized with llama.cpp using [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where)
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## β
Quantized Models Download List
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### π Recommended Quantizations
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- **β¨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q4_k_m.gguf) (Best balance of speed/quality)
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- **π± ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q4_0.gguf) (Optimized for ARM CPUs)
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- **π Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q8_0.gguf) (Near-original quality)
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### π¦ Full Quantization Options
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| π Download | π’ Type | π Notes |
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|:---------|:-----|:------|
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q2_k.gguf) |  | Basic quantization |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q3_k_s.gguf) |  | Small size |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q3_k_m.gguf) |  | Balanced quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q3_k_l.gguf) |  | Better quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q4_0.gguf) |  | Fast on ARM |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q4_k_s.gguf) |  | Fast, recommended |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q4_k_m.gguf) |  β | Best balance |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q5_0.gguf) |  | Good quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q5_k_s.gguf) |  | Balanced |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q5_k_m.gguf) |  | High quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q6_k.gguf) |  π | Very good quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-q8_0.gguf) |  β‘ | Fast, best quality |
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| [Download](https://huggingface.co/ysn-rfd/Z1-7B-GGUF/resolve/main/z1-7b-f16.gguf) |  | Maximum accuracy |
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π‘ **Tip:** Use `F16` for maximum precision when quality is critical
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---
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# π Applications and Tools for Locally Quantized LLMs
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## π₯οΈ Desktop Applications
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| Application | Description | Download Link |
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|-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
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| **Llama.cpp** | A fast and efficient inference engine for GGUF models. | [GitHub Repository](https://github.com/ggml-org/llama.cpp) |
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| **Ollama** | A streamlined solution for running LLMs locally. | [Website](https://ollama.com/) |
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| **AnythingLLM** | An AI-powered knowledge management tool. | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) |
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| **Open WebUI** | A user-friendly web interface for running local LLMs. | [GitHub Repository](https://github.com/open-webui/open-webui) |
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| **GPT4All** | A user-friendly desktop application supporting various LLMs, compatible with GGUF models. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
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| **LM Studio** | A desktop application designed to run and manage local LLMs, supporting GGUF format. | [Website](https://lmstudio.ai/) |
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| **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
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---
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## π± Mobile Applications
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| Application | Description | Download Link |
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|-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
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| **ChatterUI** | A simple and lightweight LLM app for mobile devices. | [GitHub Repository](https://github.com/Vali-98/ChatterUI) |
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| **Maid** | Mobile Artificial Intelligence Distribution for running AI models on mobile devices. | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) |
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| **PocketPal AI** | A mobile AI assistant powered by local models. | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) |
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| **Layla** | A flexible platform for running various AI models on mobile devices. | [Website](https://www.layla-network.ai/) |
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---
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## π¨ Image Generation Applications
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| Application | Description | Download Link |
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|-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
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| **Stable Diffusion** | An open-source AI model for generating images from text. | [GitHub Repository](https://github.com/CompVis/stable-diffusion) |
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| **Stable Diffusion WebUI** | A web application providing access to Stable Diffusion models via a browser interface. | [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |
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| **Local Dream** | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. | [GitHub Repository](https://github.com/xororz/local-dream) |
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| **Stable-Diffusion-Android (SDAI)** | An open-source AI art application for Android devices, enabling digital art creation. | [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android) |
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---
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