Hugging Face's logo

ysn-rfd
/
Dolphin3.0-Qwen2.5-1.5B-GGUF

GGUF
English
llama-cpp
matrixportal
conversational
Model card Files Community
ysn-rfd commited on
Commit
e5bec1d
·
verified ·
1 Parent(s): db029f2

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +94 -0
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B
3
+ datasets:
4
+ - OpenCoder-LLM/opc-sft-stage1
5
+ - OpenCoder-LLM/opc-sft-stage2
6
+ - microsoft/orca-agentinstruct-1M-v1
7
+ - microsoft/orca-math-word-problems-200k
8
+ - NousResearch/hermes-function-calling-v1
9
+ - AI-MO/NuminaMath-CoT
10
+ - AI-MO/NuminaMath-TIR
11
+ - allenai/tulu-3-sft-mixture
12
+ - cognitivecomputations/dolphin-coder
13
+ - HuggingFaceTB/smoltalk
14
+ - cognitivecomputations/samantha-data
15
+ - m-a-p/CodeFeedback-Filtered-Instruction
16
+ - m-a-p/Code-Feedback
17
+ language:
18
+ - en
19
+ license: apache-2.0
20
+ license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B/blob/main/LICENSE
21
+ tags:
22
+ - llama-cpp
23
+ - matrixportal
24
+ ---
25
+
26
+ # ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF
27
+ This model was converted to GGUF format from [`cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B`](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
28
+ Refer to the [original model card](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B) for more details on the model.
29
+
30
+ ## ✅ Quantized Models Download List
31
+
32
+ ### 🔍 Recommended Quantizations
33
+ - **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q4_k_m.gguf) (Best balance of speed/quality)
34
+ - **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q4_0.gguf) (Optimized for ARM CPUs)
35
+ - **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q8_0.gguf) (Near-original quality)
36
+
37
+ ### 📦 Full Quantization Options
38
+ | 🚀 Download | 🔢 Type | 📝 Notes |
39
+ |:---------|:-----|:------|
40
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
41
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
42
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
43
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
44
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
45
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
46
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
47
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
48
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
49
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
50
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
51
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
52
+ | [Download](https://huggingface.co/ysn-rfd/Dolphin3.0-Qwen2.5-1.5B-GGUF/resolve/main/dolphin3.0-qwen2.5-1.5b-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
53
+
54
+ 💡 **Tip:** Use `F16` for maximum precision when quality is critical
55
+
56
+
57
+ ---
58
+ # 🚀 Applications and Tools for Locally Quantized LLMs
59
+ ## 🖥️ Desktop Applications
60
+
61
+ | Application | Description | Download Link |
62
+ |-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
63
+ | **Llama.cpp** | A fast and efficient inference engine for GGUF models. | [GitHub Repository](https://github.com/ggml-org/llama.cpp) |
64
+ | **Ollama** | A streamlined solution for running LLMs locally. | [Website](https://ollama.com/) |
65
+ | **AnythingLLM** | An AI-powered knowledge management tool. | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) |
66
+ | **Open WebUI** | A user-friendly web interface for running local LLMs. | [GitHub Repository](https://github.com/open-webui/open-webui) |
67
+ | **GPT4All** | A user-friendly desktop application supporting various LLMs, compatible with GGUF models. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
68
+ | **LM Studio** | A desktop application designed to run and manage local LLMs, supporting GGUF format. | [Website](https://lmstudio.ai/) |
69
+ | **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
70
+
71
+ ---
72
+
73
+ ## 📱 Mobile Applications
74
+
75
+ | Application | Description | Download Link |
76
+ |-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
77
+ | **ChatterUI** | A simple and lightweight LLM app for mobile devices. | [GitHub Repository](https://github.com/Vali-98/ChatterUI) |
78
+ | **Maid** | Mobile Artificial Intelligence Distribution for running AI models on mobile devices. | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) |
79
+ | **PocketPal AI** | A mobile AI assistant powered by local models. | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) |
80
+ | **Layla** | A flexible platform for running various AI models on mobile devices. | [Website](https://www.layla-network.ai/) |
81
+
82
+ ---
83
+
84
+ ## 🎨 Image Generation Applications
85
+
86
+ | Application | Description | Download Link |
87
+ |-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
88
+ | **Stable Diffusion** | An open-source AI model for generating images from text. | [GitHub Repository](https://github.com/CompVis/stable-diffusion) |
89
+ | **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) |
90
+ | **Local Dream** | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. | [GitHub Repository](https://github.com/xororz/local-dream) |
91
+ | **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) |
92
+
93
+ ---
94
+