commit 228de17388680e1dfae9717df6b2f521445f2bab Author: ModelHub XC Date: Wed Apr 22 20:52:04 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: ysn-rfd/bloomz-3b-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2941efd --- /dev/null +++ b/.gitattributes @@ -0,0 +1,39 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +bloomz-3b-q8_0.gguf filter=lfs diff=lfs merge=lfs -text +bloomz-3b-q5_0.gguf filter=lfs diff=lfs merge=lfs -text +bloomz-3b-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text +bloomz-3b-q4_0.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..f285a7d --- /dev/null +++ b/README.md @@ -0,0 +1,731 @@ +--- +base_model: bigscience/bloomz-3b +datasets: +- bigscience/xP3 +language: +- ak +- ar +- as +- bm +- bn +- ca +- code +- en +- es +- eu +- fon +- fr +- gu +- hi +- id +- ig +- ki +- kn +- lg +- ln +- ml +- mr +- ne +- nso +- ny +- or +- pa +- pt +- rn +- rw +- sn +- st +- sw +- ta +- te +- tn +- ts +- tum +- tw +- ur +- vi +- wo +- xh +- yo +- zh +- zu +license: bigscience-bloom-rail-1.0 +pipeline_tag: text-generation +tags: +- llama-cpp +- matrixportal +programming_language: +- C +- C++ +- C# +- Go +- Java +- JavaScript +- Lua +- PHP +- Python +- Ruby +- Rust +- Scala +- TypeScript +widget: +- text: 一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。Would you rate the previous + review as positive, neutral or negative? + example_title: zh-en sentiment +- text: 一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。你认为这句话的立场是赞扬、中立还是批评？ + example_title: zh-zh sentiment +- text: Suggest at least five related search terms to "Mạng neural nhân tạo". + example_title: vi-en query +- text: Proposez au moins cinq mots clés concernant «Réseau de neurones artificiels». + example_title: fr-fr query +- text: Explain in a sentence in Telugu what is backpropagation in neural networks. + example_title: te-en qa +- text: Why is the sky blue? + example_title: en-en qa +- text: 'Write a fairy tale about a troll saving a princess from a dangerous dragon. + The fairy tale is a masterpiece that has achieved praise worldwide and its moral + is "Heroes Come in All Shapes and Sizes". Story (in Spanish):' + example_title: es-en fable +- text: 'Write a fable about wood elves living in a forest that is suddenly invaded + by ogres. The fable is a masterpiece that has achieved praise worldwide and its + moral is "Violence is the last refuge of the incompetent". Fable (in Hindi):' + example_title: hi-en fable +model-index: +- name: bloomz-3b1 + results: + - task: + type: Coreference resolution + dataset: + name: Winogrande XL (xl) + type: winogrande + config: xl + split: validation + revision: a80f460359d1e9a67c006011c94de42a8759430c + metrics: + - type: Accuracy + value: 53.67 + - task: + type: Coreference resolution + dataset: + name: XWinograd (en) + type: Muennighoff/xwinograd + config: en + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 59.23 + - task: + type: Coreference resolution + dataset: + name: XWinograd (fr) + type: Muennighoff/xwinograd + config: fr + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 53.01 + - task: + type: Coreference resolution + dataset: + name: XWinograd (jp) + type: Muennighoff/xwinograd + config: jp + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 52.45 + - task: + type: Coreference resolution + dataset: + name: XWinograd (pt) + type: Muennighoff/xwinograd + config: pt + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 53.61 + - task: + type: Coreference resolution + dataset: + name: XWinograd (ru) + type: Muennighoff/xwinograd + config: ru + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 53.97 + - task: + type: Coreference resolution + dataset: + name: XWinograd (zh) + type: Muennighoff/xwinograd + config: zh + split: test + revision: 9dd5ea5505fad86b7bedad667955577815300cee + metrics: + - type: Accuracy + value: 60.91 + - task: + type: Natural language inference + dataset: + name: ANLI (r1) + type: anli + config: r1 + split: validation + revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094 + metrics: + - type: Accuracy + value: 40.1 + - task: + type: Natural language inference + dataset: + name: ANLI (r2) + type: anli + config: r2 + split: validation + revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094 + metrics: + - type: Accuracy + value: 36.8 + - task: + type: Natural language inference + dataset: + name: ANLI (r3) + type: anli + config: r3 + split: validation + revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094 + metrics: + - type: Accuracy + value: 40.0 + - task: + type: Natural language inference + dataset: + name: SuperGLUE (cb) + type: super_glue + config: cb + split: validation + revision: 9e12063561e7e6c79099feb6d5a493142584e9e2 + metrics: + - type: Accuracy + value: 75.0 + - task: + type: Natural language inference + dataset: + name: SuperGLUE (rte) + type: super_glue + config: rte + split: validation + revision: 9e12063561e7e6c79099feb6d5a493142584e9e2 + metrics: + - type: Accuracy + value: 76.17 + - task: + type: Natural language inference + dataset: + name: XNLI (ar) + type: xnli + config: ar + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 53.29 + - task: + type: Natural language inference + dataset: + name: XNLI (bg) + type: xnli + config: bg + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 43.82 + - task: + type: Natural language inference + dataset: + name: XNLI (de) + type: xnli + config: de + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 45.26 + - task: + type: Natural language inference + dataset: + name: XNLI (el) + type: xnli + config: el + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 42.61 + - task: + type: Natural language inference + dataset: + name: XNLI (en) + type: xnli + config: en + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 57.31 + - task: + type: Natural language inference + dataset: + name: XNLI (es) + type: xnli + config: es + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 56.14 + - task: + type: Natural language inference + dataset: + name: XNLI (fr) + type: xnli + config: fr + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 55.78 + - task: + type: Natural language inference + dataset: + name: XNLI (hi) + type: xnli + config: hi + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 51.49 + - task: + type: Natural language inference + dataset: + name: XNLI (ru) + type: xnli + config: ru + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 47.11 + - task: + type: Natural language inference + dataset: + name: XNLI (sw) + type: xnli + config: sw + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 47.83 + - task: + type: Natural language inference + dataset: + name: XNLI (th) + type: xnli + config: th + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 42.93 + - task: + type: Natural language inference + dataset: + name: XNLI (tr) + type: xnli + config: tr + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 37.23 + - task: + type: Natural language inference + dataset: + name: XNLI (ur) + type: xnli + config: ur + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 49.04 + - task: + type: Natural language inference + dataset: + name: XNLI (vi) + type: xnli + config: vi + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 53.98 + - task: + type: Natural language inference + dataset: + name: XNLI (zh) + type: xnli + config: zh + split: validation + revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16 + metrics: + - type: Accuracy + value: 54.18 + - task: + type: Program synthesis + dataset: + name: HumanEval + type: openai_humaneval + config: None + split: test + revision: e8dc562f5de170c54b5481011dd9f4fa04845771 + metrics: + - type: Pass@1 + value: 6.29 + - type: Pass@10 + value: 11.94 + - type: Pass@100 + value: 19.06 + - task: + type: Sentence completion + dataset: + name: StoryCloze (2016) + type: story_cloze + config: '2016' + split: validation + revision: e724c6f8cdf7c7a2fb229d862226e15b023ee4db + metrics: + - type: Accuracy + value: 87.33 + - task: + type: Sentence completion + dataset: + name: SuperGLUE (copa) + type: super_glue + config: copa + split: validation + revision: 9e12063561e7e6c79099feb6d5a493142584e9e2 + metrics: + - type: Accuracy + value: 76.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (et) + type: xcopa + config: et + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 53.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (ht) + type: xcopa + config: ht + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 64.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (id) + type: xcopa + config: id + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 70.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (it) + type: xcopa + config: it + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 53.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (qu) + type: xcopa + config: qu + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 56.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (sw) + type: xcopa + config: sw + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 66.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (ta) + type: xcopa + config: ta + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 59.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (th) + type: xcopa + config: th + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 63.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (tr) + type: xcopa + config: tr + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 61.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (vi) + type: xcopa + config: vi + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 77.0 + - task: + type: Sentence completion + dataset: + name: XCOPA (zh) + type: xcopa + config: zh + split: validation + revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187 + metrics: + - type: Accuracy + value: 73.0 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (ar) + type: Muennighoff/xstory_cloze + config: ar + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 80.61 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (es) + type: Muennighoff/xstory_cloze + config: es + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 85.9 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (eu) + type: Muennighoff/xstory_cloze + config: eu + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 70.95 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (hi) + type: Muennighoff/xstory_cloze + config: hi + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 78.89 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (id) + type: Muennighoff/xstory_cloze + config: id + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 82.99 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (my) + type: Muennighoff/xstory_cloze + config: my + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 49.9 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (ru) + type: Muennighoff/xstory_cloze + config: ru + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 61.42 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (sw) + type: Muennighoff/xstory_cloze + config: sw + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 69.69 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (te) + type: Muennighoff/xstory_cloze + config: te + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 73.66 + - task: + type: Sentence completion + dataset: + name: XStoryCloze (zh) + type: Muennighoff/xstory_cloze + config: zh + split: validation + revision: 8bb76e594b68147f1a430e86829d07189622b90d + metrics: + - type: Accuracy + value: 84.32 +--- + +# ysn-rfd/bloomz-3b-GGUF + This model was converted to GGUF format from [`bigscience/bloomz-3b`](https://huggingface.co/bigscience/bloomz-3b) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space. +Refer to the [original model card](https://huggingface.co/bigscience/bloomz-3b) for more details on the model. + +## ✅ Quantized Models Download List + +### 🔍 Recommended Quantizations +- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q4_k_m.gguf) (Best balance of speed/quality) +- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q4_0.gguf) (Optimized for ARM CPUs) +- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q8_0.gguf) (Near-original quality) + +### 📦 Full Quantization Options +| 🚀 Download | 🔢 Type | 📝 Notes | +|:---------|:-----|:------| +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality | +| [Download](https://huggingface.co/ysn-rfd/bloomz-3b-GGUF/resolve/main/bloomz-3b-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy | + +💡 **Tip:** Use `F16` for maximum precision when quality is critical + + +--- +# 🚀 Applications and Tools for Locally Quantized LLMs +## 🖥️ Desktop Applications + +| Application | Description | Download Link | +|-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------| +| **Llama.cpp** | A fast and efficient inference engine for GGUF models. | [GitHub Repository](https://github.com/ggml-org/llama.cpp) | +| **Ollama** | A streamlined solution for running LLMs locally. | [Website](https://ollama.com/) | +| **AnythingLLM** | An AI-powered knowledge management tool. | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) | +| **Open WebUI** | A user-friendly web interface for running local LLMs. | [GitHub Repository](https://github.com/open-webui/open-webui) | +| **GPT4All** | A user-friendly desktop application supporting various LLMs, compatible with GGUF models. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) | +| **LM Studio** | A desktop application designed to run and manage local LLMs, supporting GGUF format. | [Website](https://lmstudio.ai/) | +| **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) | + +--- + +## 📱 Mobile Applications + +| Application | Description | Download Link | +|-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------| +| **ChatterUI** | A simple and lightweight LLM app for mobile devices. | [GitHub Repository](https://github.com/Vali-98/ChatterUI) | +| **Maid** | Mobile Artificial Intelligence Distribution for running AI models on mobile devices. | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) | +| **PocketPal AI** | A mobile AI assistant powered by local models. | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) | +| **Layla** | A flexible platform for running various AI models on mobile devices. | [Website](https://www.layla-network.ai/) | + +--- + +## 🎨 Image Generation Applications + +| Application | Description | Download Link | +|-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------| +| **Stable Diffusion** | An open-source AI model for generating images from text. | [GitHub Repository](https://github.com/CompVis/stable-diffusion) | +| **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) | +| **Local Dream** | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. | [GitHub Repository](https://github.com/xororz/local-dream) | +| **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) | + +--- + diff --git a/bloomz-3b-q4_0.gguf b/bloomz-3b-q4_0.gguf new file mode 100644 index 0000000..b47fdca --- /dev/null +++ b/bloomz-3b-q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1edb65798f9d757708bcd24df43b14d37be23f8547e8c0060458306f1979a5af +size 1870613472 diff --git a/bloomz-3b-q4_k_m.gguf b/bloomz-3b-q4_k_m.gguf new file mode 100644 index 0000000..146e856 --- /dev/null +++ b/bloomz-3b-q4_k_m.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fa99320300c9ceb47b5ac65ba591301c0befdedf72989b91d118368569842fc8 +size 2038959072 diff --git a/bloomz-3b-q5_0.gguf b/bloomz-3b-q5_0.gguf new file mode 100644 index 0000000..629b49d --- /dev/null +++ b/bloomz-3b-q5_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7ecc3880a0ce95d95052ea2f960995265ac845b429a1da1aa8adef10760cd14e +size 2165525472 diff --git a/bloomz-3b-q8_0.gguf b/bloomz-3b-q8_0.gguf new file mode 100644 index 0000000..c8ac526 --- /dev/null +++ b/bloomz-3b-q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a093077c5e465a455591240f093245131f382121b5e203eb0f17ea880361227d +size 3205807072