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Model: ysn-rfd/calme-3.3-instruct-3b-GGUF Source: Original Platform
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---
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base_model: MaziyarPanahi/calme-3.3-instruct-3b
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datasets:
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- MaziyarPanahi/french_instruct_sharegpt
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- arcee-ai/EvolKit-20k
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language:
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- fr
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- en
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library_name: transformers
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- chat
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- qwen
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- qwen2.5
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- finetune
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- french
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- english
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- llama-cpp
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- matrixportal
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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model-index:
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- name: calme-3.3-instruct-3b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 64.23
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 25.68
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 0.0
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 4.36
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 9.4
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 25.62
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-3.3-instruct-3b
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name: Open LLM Leaderboard
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---
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# ysn-rfd/calme-3.3-instruct-3b-GGUF
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This model was converted to GGUF format from [`MaziyarPanahi/calme-3.3-instruct-3b`](https://huggingface.co/MaziyarPanahi/calme-3.3-instruct-3b) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
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Refer to the [original model card](https://huggingface.co/MaziyarPanahi/calme-3.3-instruct-3b) for more details on the model.
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## ✅ Quantized Models Download List
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### 🔍 Recommended Quantizations
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- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q4_k_m.gguf) (Best balance of speed/quality)
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- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q4_0.gguf) (Optimized for ARM CPUs)
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- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q8_0.gguf) (Near-original quality)
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### 📦 Full Quantization Options
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| 🚀 Download | 🔢 Type | 📝 Notes |
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|:---------|:-----|:------|
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q2_k.gguf) |  | Basic quantization |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q3_k_s.gguf) |  | Small size |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q3_k_m.gguf) |  | Balanced quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q3_k_l.gguf) |  | Better quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q4_0.gguf) |  | Fast on ARM |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q4_k_s.gguf) |  | Fast, recommended |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q4_k_m.gguf) |  ⭐ | Best balance |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q5_0.gguf) |  | Good quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q5_k_s.gguf) |  | Balanced |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q5_k_m.gguf) |  | High quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q6_k.gguf) |  🏆 | Very good quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-q8_0.gguf) |  ⚡ | Fast, best quality |
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| [Download](https://huggingface.co/ysn-rfd/calme-3.3-instruct-3b-GGUF/resolve/main/calme-3.3-instruct-3b-f16.gguf) |  | Maximum accuracy |
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💡 **Tip:** Use `F16` for maximum precision when quality is critical
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---
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# 🚀 Applications and Tools for Locally Quantized LLMs
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## 🖥️ 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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## 📱 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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## 🎨 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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calme-3.3-instruct-3b-q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a8d8a6747c846272bad91fd1692cdedd6054372be854ccc832b70759be4f145
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size 1822850592
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version https://git-lfs.github.com/spec/v1
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oid sha256:3827ab64bc241efc5ebf092a2f4eb056792f78b48d737d2ba92162f8aec853e5
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size 2169667104
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3
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version https://git-lfs.github.com/spec/v1
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oid sha256:35c96cf1fe1e43328f11d40365d5a577e80078546d6b0917178434d162c13f5d
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size 3285476896
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