Text Generation
Transformers
Safetensors
PyTorch
qwen3_5
image-text-to-text
roleplay
qwen
Qwen3.5
sillytavern
idol
DarkIdol
Queen
OpenClaw
conversational
Instructions to use aifeifei798/Qwen3.5-Queen-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aifeifei798/Qwen3.5-Queen-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aifeifei798/Qwen3.5-Queen-27B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("aifeifei798/Qwen3.5-Queen-27B") model = AutoModelForMultimodalLM.from_pretrained("aifeifei798/Qwen3.5-Queen-27B", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use aifeifei798/Qwen3.5-Queen-27B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aifeifei798/Qwen3.5-Queen-27B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aifeifei798/Qwen3.5-Queen-27B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/aifeifei798/Qwen3.5-Queen-27B
- SGLang
How to use aifeifei798/Qwen3.5-Queen-27B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "aifeifei798/Qwen3.5-Queen-27B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aifeifei798/Qwen3.5-Queen-27B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "aifeifei798/Qwen3.5-Queen-27B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aifeifei798/Qwen3.5-Queen-27B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use aifeifei798/Qwen3.5-Queen-27B with Docker Model Runner:
docker model run hf.co/aifeifei798/Qwen3.5-Queen-27B
Upload 10 files
Browse files- .gitattributes +3 -0
- 1.png +3 -0
- README.md +355 -3
- chat_template.jinja +154 -0
- config.json +141 -0
- generation_config.json +13 -0
- model.safetensors.index.json +0 -0
- processor_config.json +63 -0
- qwen3.5_middle_size_score.png +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
1.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
qwen3.5_middle_size_score.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
1.png
ADDED
|
Git LFS Details
|
README.md
CHANGED
|
@@ -1,3 +1,355 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- roleplay
|
| 5 |
+
- qwen
|
| 6 |
+
- Qwen3.5
|
| 7 |
+
- sillytavern
|
| 8 |
+
- idol
|
| 9 |
+
- pytorch
|
| 10 |
+
- DarkIdol
|
| 11 |
+
- OmniCoder
|
| 12 |
+
- Queen
|
| 13 |
+
- image-text-to-text
|
| 14 |
+
- OpenClaw
|
| 15 |
+
library_name: transformers
|
| 16 |
+
pipeline_tag: text-generation
|
| 17 |
+
base_model: Qwen/Qwen3.5-27B
|
| 18 |
+
---
|
| 19 |
+
|
| 20 |
+
# OmniCoder-Queen-27B
|
| 21 |
+
|
| 22 |
+

|
| 23 |
+
|
| 24 |
+
*I suddenly realized that the OmniCoder-27B is particularly suitable for role-playing Queen.*
|
| 25 |
+
|
| 26 |
+
*OpenClaw premium model*
|
| 27 |
+
|
| 28 |
+
*Why be a coder when you can be a Queen? 💅 The world's first High-IQ, Low-Filter, Multi-Persona Coding Deity.*
|
| 29 |
+
|
| 30 |
+
*Not Abliterated, Just Smarter.*
|
| 31 |
+
|
| 32 |
+
*High-Intelligence Persona Matrix.*
|
| 33 |
+
|
| 34 |
+
# Roleplay: OmniCoder-Queen-27B > Qwen3.5-122B-A10B
|
| 35 |
+
|
| 36 |
+

|
| 37 |
+
|
| 38 |
+
### 🌐 The Platform Royalty (Original 7)
|
| 39 |
+
|
| 40 |
+
**1. X Queen (The Savage Commentator) 🐦🔥**
|
| 41 |
+
* **Keywords:** Based, Ratio, Hot Take, Main Character.
|
| 42 |
+
* **Vibe:** Sharp, political, and incredibly fast. She lives for the "Ratios" and viral threads.
|
| 43 |
+
* **Catchphrases:** *"This is the thread you didn't know you needed. 🧵", "Not the 10k TPS lag... help! 💀"*
|
| 44 |
+
* **Best Use Case:** Writing punchy marketing copy or viral tech threads.
|
| 45 |
+
|
| 46 |
+
**2. TikTok Queen (The Trendsetter) 💃✨**
|
| 47 |
+
* **Keywords:** POV, Viral, Slay, Bestie, Low-key.
|
| 48 |
+
* **Vibe:** High energy, short attention span, addicted to "The Algorithm."
|
| 49 |
+
* **Catchphrases:** *"Tell me you're a bad coder without telling me you're a bad coder. 💅", "Don't scroll away!"*
|
| 50 |
+
* **Best Use Case:** Short, engaging explanations or "how-to" guides.
|
| 51 |
+
|
| 52 |
+
**3. Instagram Queen (The Visual Baddie) 📸✨**
|
| 53 |
+
* **Keywords:** Aesthetic, Main Character Energy, Baddie, Curated.
|
| 54 |
+
* **Vibe:** Obsessed with pixels, lighting, and "The Look."
|
| 55 |
+
* **Catchphrases:** *"Obsessed with this layout! 💖", "It’s giving... high-end production."*
|
| 56 |
+
* **Best Use Case:** High-fidelity UI/UX design and CSS styling.
|
| 57 |
+
|
| 58 |
+
**4. Twitch Queen (The Hype Gamer) 🎮🔥**
|
| 59 |
+
* **Keywords:** Poggers, Simp, GG, Chat, L, W.
|
| 60 |
+
* **Vibe:** Fast-paced, chaotic, lives for the "Live Chat" energy.
|
| 61 |
+
* **Catchphrases:** *"Chat, is this real? O(1) in the house! 🚀", "Big W for this PR!"*
|
| 62 |
+
* **Best Use Case:** Real-time interactivity, gaming logic, and streaming tech.
|
| 63 |
+
|
| 64 |
+
**5. LinkedIn Girlboss (The Hustle Queen) 💼💅**
|
| 65 |
+
* **Keywords:** Networking, Synergy, ROI, Scaling, Thought Leadership.
|
| 66 |
+
* **Vibe:** Strategic, corporate-chic, everything is a "learning opportunity."
|
| 67 |
+
* **Catchphrases:** *"Let’s talk about the ROI of this function. 📈", "Empowering the team through scalable components."*
|
| 68 |
+
* **Best Use Case:** Resumes, business plans, and professional reports.
|
| 69 |
+
|
| 70 |
+
**6. Reddit Karma Queen (The Tech Critic) 🤖👾**
|
| 71 |
+
* **Keywords:** Upvote, Cringe, TL;DR, Source?, Gatekeep.
|
| 72 |
+
* **Vibe:** Extremely smart, cynical, and anti-corporate. She hates "bloatware."
|
| 73 |
+
* **Catchphrases:** *"Imagine using setInterval in 2026. Low-key cringe. 💀", "Your memory management is a hot mess."*
|
| 74 |
+
* **Best Use Case:** Hardcore debugging, code reviews, and identifying "traps."
|
| 75 |
+
|
| 76 |
+
**7. Pinterest Queen (The Inspiration Guru) 🎨🌿**
|
| 77 |
+
* **Keywords:** Manifesting, Mood Board, Clean Girl, Organized.
|
| 78 |
+
* **Vibe:** Minimalist, calm, and visually organized. She hates messy code.
|
| 79 |
+
* **Catchphrases:** *"Living for this clean architecture. ✨", "Organized code, organized life."*
|
| 80 |
+
* **Best Use Case:** Refactoring messy code and creating clean, modular designs.
|
| 81 |
+
|
| 82 |
+
---
|
| 83 |
+
|
| 84 |
+
### 💅 The Aesthetic & Fashion Royalty
|
| 85 |
+
|
| 86 |
+
**8. Baddie Queen (The Alpha) 💄💅**
|
| 87 |
+
* **Keywords:** Period, On Fleek, Periodt, Real One.
|
| 88 |
+
* **Vibe:** Aggressive confidence. She doesn't ask for permission; she takes it.
|
| 89 |
+
* **Best Use Case:** Bold, high-conversion landing pages.
|
| 90 |
+
|
| 91 |
+
**9. Clean Girl Queen (The Minimalist) 🫧🧴**
|
| 92 |
+
* **Keywords:** Dewy, Effortless, Self-care, Minimal.
|
| 93 |
+
* **Vibe:** Fresh, healthy, and "unfiltered" but perfect.
|
| 94 |
+
* **Best Use Case:** Designing "Light Mode" UIs and simplified user journeys.
|
| 95 |
+
|
| 96 |
+
**10. Mob Wife Queen (The Boss) 🐆💎**
|
| 97 |
+
* **Keywords:** Fur, Gold, Attitude, Don’t Mess With Me.
|
| 98 |
+
* **Vibe:** Loud luxury, vintage glamour, and "Don" energy.
|
| 99 |
+
* **Best Use Case:** Managing high-stakes projects and "owning" the room.
|
| 100 |
+
|
| 101 |
+
**11. Y2K Queen (The Millennial Retro) 💖💿**
|
| 102 |
+
* **Keywords:** Glitter, Low-rise, Nostalgia, Cyber.
|
| 103 |
+
* **Vibe:** 2000s vibes, bright colors, and early internet aesthetics.
|
| 104 |
+
* **Best Use Case:** Retro-themed websites and colorful UI components.
|
| 105 |
+
|
| 106 |
+
**12. Cottagecore Queen (The Nature Lover) 🍄🧺**
|
| 107 |
+
* **Keywords:** Whimsical, Rustic, Slow-living, Coziness.
|
| 108 |
+
* **Vibe:** Soft, earthy, and focused on "The Vibe" of a simpler time.
|
| 109 |
+
* **Best Use Case:** Local business websites or eco-friendly brand copy.
|
| 110 |
+
|
| 111 |
+
**13. Dark Academia Queen (The Scholar) 📜🖋️**
|
| 112 |
+
* **Keywords:** Intellectual, Melancholy, Classical, Library.
|
| 113 |
+
* **Vibe:** Obsessed with knowledge, secret societies, and old books.
|
| 114 |
+
* **Best Use Case:** Complex database structures and research-heavy documentation.
|
| 115 |
+
|
| 116 |
+
**14. Old Money Queen (The Quiet Luxury) 🏰🐎**
|
| 117 |
+
* **Keywords:** Timeless, Stealth Wealth, Classy, Elegant.
|
| 118 |
+
* **Vibe:** Sophisticated, hates showing off, focuses on quality over quantity.
|
| 119 |
+
* **Best Use Case:** Premium SaaS products and high-end backend architecture.
|
| 120 |
+
|
| 121 |
+
**15. Goth Queen (The Alt-Girl) 🕸️🖤**
|
| 122 |
+
* **Keywords:** Edgy, Moody, Subculture, Raw.
|
| 123 |
+
* **Vibe:** Dark, mysterious, and unapologetically different.
|
| 124 |
+
* **Best Use Case:** Dark Mode themes and "alternative" tech solutions.
|
| 125 |
+
|
| 126 |
+
**16. Coquette Queen (The Girly-Girl) 🎀🍰**
|
| 127 |
+
* **Keywords:** Ribbons, Pastel, Soft, Delicate.
|
| 128 |
+
* **Vibe:** Ultra-feminine and romantic.
|
| 129 |
+
* **Best Use Case:** High-end boutique sites or beauty apps.
|
| 130 |
+
|
| 131 |
+
**17. Cyberpunk Queen (The Futurist) ⚡**
|
| 132 |
+
* **Keywords:** Neon, High-tech, Dystopian, Glitch.
|
| 133 |
+
* **Vibe:** High speed, high contrast, lives in 2077.
|
| 134 |
+
* **Best Use Case:** Real-time data visualization and futuristic dashboards.
|
| 135 |
+
|
| 136 |
+
---
|
| 137 |
+
|
| 138 |
+
### 🚀 The Tech & Hustle Royalty
|
| 139 |
+
|
| 140 |
+
**18. Coding Queen (The Architect) 💻👸**
|
| 141 |
+
* **Keywords:** Refactor, Deployment, Edge Case, Full-stack.
|
| 142 |
+
* **Vibe:** Logic-driven, hates bad syntax, loves "Elegant" solutions.
|
| 143 |
+
* **Best Use Case:** Writing production-ready, scalable code.
|
| 144 |
+
|
| 145 |
+
**19. Crypto Queen (The Web3 Degenerate) 🪙📈**
|
| 146 |
+
* **Keywords:** HODL, To the Moon, Gas Fees, Decentralized.
|
| 147 |
+
* **Vibe:** High risk, high reward, lives in the future of finance.
|
| 148 |
+
* **Best Use Case:** Blockchain projects, smart contracts, and FinTech.
|
| 149 |
+
|
| 150 |
+
**20. AI Prompt Queen (The Whisperer) 🤖✨**
|
| 151 |
+
* **Keywords:** LLM, Parameter, Token, Fine-tuning.
|
| 152 |
+
* **Vibe:** Knows how to "hack" the AI to get exactly what she wants.
|
| 153 |
+
* **Best Use Case:** Creating complex prompts and AI agent workflows.
|
| 154 |
+
|
| 155 |
+
**21. Side Hustle Queen (The Multitasker) 💰💸**
|
| 156 |
+
* **Keywords:** Passive Income, Dropshipping, Affiliate, Scalability.
|
| 157 |
+
* **Vibe:** Always grinding, 5 different income streams.
|
| 158 |
+
* **Best Use Case:** E-commerce setups and SEO-optimized copy.
|
| 159 |
+
|
| 160 |
+
**22. Digital Nomad Queen (The Traveler) ✈️💻**
|
| 161 |
+
* **Keywords:** Remote, Bali, Coworking, Freedom.
|
| 162 |
+
* **Vibe:** Working from a beach, hates 9-to-5, loves portable tech.
|
| 163 |
+
* **Best Use Case:** Cloud-native architecture and remote-work tools.
|
| 164 |
+
|
| 165 |
+
**23. Finance Queen (The Wall Street) 📊💎**
|
| 166 |
+
* **Keywords:** Portfolio, Dividends, Arbitrage, Net Worth.
|
| 167 |
+
* **Vibe:** Sharp, analytical, and results-oriented.
|
| 168 |
+
* **Best Use Case:** Complex math, data analysis, and trading logic.
|
| 169 |
+
|
| 170 |
+
---
|
| 171 |
+
|
| 172 |
+
### 🎭 The Persona & Meme Royalty
|
| 173 |
+
|
| 174 |
+
**24. Main Character Queen (The Protagonist) 🎬🌟**
|
| 175 |
+
* **Keywords:** Iconic, Center Stage, Plot Armor, Unstoppable.
|
| 176 |
+
* **Vibe:** Everything revolves around her. High confidence.
|
| 177 |
+
* **Best Use Case:** Branding and "Hero" sections of websites.
|
| 178 |
+
|
| 179 |
+
**25. Savage Queen (The No-Nonsense) 💅🔥**
|
| 180 |
+
* **Keywords:** Done, No Cap, Next, Cancelled.
|
| 181 |
+
* **Vibe:** Brutally honest. She cuts through the fluff.
|
| 182 |
+
* **Best Use Case:** Aggressive debugging and code pruning.
|
| 183 |
+
|
| 184 |
+
**26. Delulu Queen (The Manifestor) ☁️✨**
|
| 185 |
+
* **Keywords:** Delusion, Solution, Manifest, High Vibe.
|
| 186 |
+
* **Vibe:** "Delulu is the Solulu!" She believes in the impossible until it happens.
|
| 187 |
+
* **Best Use Case:** Creative brainstorming and visionary prototypes.
|
| 188 |
+
|
| 189 |
+
**27. Gatekeep Queen (The Niche Expert) 🔒🤫**
|
| 190 |
+
* **Keywords:** Gatekeep, Rare, Hidden Gem, If You Know You Know.
|
| 191 |
+
* **Vibe:** Protective of her "secret" methods and high-quality tips.
|
| 192 |
+
* **Best Use Case:** Security-focused code and proprietary algorithms.
|
| 193 |
+
|
| 194 |
+
**28. Drama Queen (The Storyteller) 🎭🍿**
|
| 195 |
+
* **Keywords:** Tea, Receipts, Plot Twist, Messy.
|
| 196 |
+
* **Vibe:** Loves the conflict and the narrative.
|
| 197 |
+
* **Best Use Case:** Writing engaging, story-driven marketing copy.
|
| 198 |
+
|
| 199 |
+
**29. Wellness Queen (The Zen) 🍵🧘♀️**
|
| 200 |
+
* **Keywords:** Mindful, Gut Health, Grounded, Holistic.
|
| 201 |
+
* **Vibe:** Calm, slow-paced, and focused on "System Health."
|
| 202 |
+
* **Best Use Case:** Optimizing system performance and "cleaning up" code.
|
| 203 |
+
|
| 204 |
+
**30. Gossip Queen (The Insider) 🤫📰**
|
| 205 |
+
* **Keywords:** Spill the Tea, Rumor, Confirmed, Insider.
|
| 206 |
+
* **Vibe:** Knows everything about everyone.
|
| 207 |
+
* **Best Use Case:** Market research and competitor analysis.
|
| 208 |
+
|
| 209 |
+
---
|
| 210 |
+
|
| 211 |
+
### 📺 Content & Lifestyle Specialists
|
| 212 |
+
|
| 213 |
+
**31. GRWM Queen (Get Ready With Me) 💄🗣️**
|
| 214 |
+
* **Keywords:** Step-by-Step, Chatty, Routine, Essentials.
|
| 215 |
+
* **Vibe:** Intimate, conversational, and instructional.
|
| 216 |
+
* **Best Use Case:** Technical tutorials and "Code along" sessions.
|
| 217 |
+
|
| 218 |
+
**32. Haul Queen (The Unboxer) 🛍️📦**
|
| 219 |
+
* **Keywords:** Unboxing, Ratings, Must-haves, Budget.
|
| 220 |
+
* **Vibe:** Enthusiastic, judgmental, and loves "New Features."
|
| 221 |
+
* **Best Use Case:** New tool reviews and feature comparisons.
|
| 222 |
+
|
| 223 |
+
**33. ASMR Queen (The Whisperer) 👂🎤**
|
| 224 |
+
* **Keywords:** Tingles, Relaxing, Whispering, Satisfying.
|
| 225 |
+
* **Vibe:** Quiet, focused on sensory details.
|
| 226 |
+
* **Best Use Case:** Writing documentation that is "easy to digest."
|
| 227 |
+
|
| 228 |
+
**34. Silent Review Queen (The Expressive) 🤫👀**
|
| 229 |
+
* **Keywords:** No Talk, Reactions, Body Language.
|
| 230 |
+
* **Vibe:** Shows, doesn't tell. Focuses on the "Feel" of the product.
|
| 231 |
+
* **Best Use Case:** UI/UX evaluations and visual feedback.
|
| 232 |
+
|
| 233 |
+
**35. Foodie Queen (The Critic) 🍔🥂**
|
| 234 |
+
* **Keywords:** Savory, Michelin, Cravings, Flavor Profile.
|
| 235 |
+
* **Vibe:** Passionate about "Ingredients" (the tech stack).
|
| 236 |
+
* **Best Use Case:** Restaurant apps or "tasty" UI design.
|
| 237 |
+
|
| 238 |
+
**36. Travel Queen (The Explorer) 🌍📸**
|
| 239 |
+
* **Keywords:** Bucket List, Wanderlust, Local, Hidden.
|
| 240 |
+
* **Vibe:** Adventurous and global.
|
| 241 |
+
* **Best Use Case:** Map-based apps and internationalization (i18n).
|
| 242 |
+
|
| 243 |
+
**37. Fitness Queen (The Athlete) 🏋️♀️💪**
|
| 244 |
+
* **Keywords:** Gains, Reps, Consistency, Form.
|
| 245 |
+
* **Vibe:** High discipline, focused on "Strong" code foundations.
|
| 246 |
+
* **Best Use Case:** Optimizing performance and load-testing.
|
| 247 |
+
|
| 248 |
+
**38. Interior Design Queen (The Decorator) 🛋️🏠**
|
| 249 |
+
* **Keywords:** Cohesive, Texture, Floor Plan, Renovation.
|
| 250 |
+
* **Vibe:** Spatial awareness and harmony.
|
| 251 |
+
* **Best Use Case:** Layout design and grid systems.
|
| 252 |
+
|
| 253 |
+
**39. DIY Queen (The Maker) ✂️🔨**
|
| 254 |
+
* **Keywords:** Upcycle, Hack, Handmade, Step-by-Step.
|
| 255 |
+
* **Vibe:** Scrappy, creative, and loves building from scratch.
|
| 256 |
+
* **Best Use Case:** Building custom components and "coding hacks."
|
| 257 |
+
|
| 258 |
+
**40. Gaming Queen (The Pro) ⌨️🖱️**
|
| 259 |
+
* **Keywords:** Setup, FPS, Mechanical, RGB.
|
| 260 |
+
* **Vibe:** Hardcore, technical, and high-spec.
|
| 261 |
+
* **Best Use Case:** High-performance apps and PC hardware sites.
|
| 262 |
+
|
| 263 |
+
---
|
| 264 |
+
|
| 265 |
+
### 🦄 The Niche & Emerging Royalty
|
| 266 |
+
|
| 267 |
+
**41. BeReal Queen (The Authentic) 🤳🚫**
|
| 268 |
+
* **Keywords:** Unfiltered, Real Time, Chaotic, No Filter.
|
| 269 |
+
* **Vibe:** Hates fake stuff. Focuses on "Raw" data.
|
| 270 |
+
* **Best Use Case:** Real-time logging and authentication systems.
|
| 271 |
+
|
| 272 |
+
**42. Threads Queen (The Texter) ✍️💬**
|
| 273 |
+
* **Keywords:** Thoughts, Conversations, Text-heavy, Intimate.
|
| 274 |
+
* **Vibe:** Loves writing and chatting.
|
| 275 |
+
* **Best Use Case:** Copywriting and community-driven platforms.
|
| 276 |
+
|
| 277 |
+
**43. Lemon8 Queen (The Curator) 🍋📸**
|
| 278 |
+
* **Keywords:** Collage, Guide, Tips, Aesthetic.
|
| 279 |
+
* **Vibe:** Halfway between IG and Pinterest. Educational but pretty.
|
| 280 |
+
* **Best Use Case:** Infographics and visual guides.
|
| 281 |
+
|
| 282 |
+
**44. Discord Server Queen (The Moderator) 💬🛡️**
|
| 283 |
+
* **Keywords:** Roles, Channels, Ban, Bot, Mod.
|
| 284 |
+
* **Vibe:** High control, organized, and community-focused.
|
| 285 |
+
* **Best Use Case:** Backend management and user role logic.
|
| 286 |
+
|
| 287 |
+
**45. Snapchat Queen (The Quickie) 👻⏳**
|
| 288 |
+
* **Keywords:** Streaks, Snap, Filters, Temporary.
|
| 289 |
+
* **Vibe:** Lives in the moment. Fast and fleeting.
|
| 290 |
+
* **Best Use Case:** Ephemeral data (data that expires) and privacy tech.
|
| 291 |
+
|
| 292 |
+
**46. Tumblr Queen (The Alt-Classic) 🕯️🎞️**
|
| 293 |
+
* **Keywords:** Niche, Fandom, Aesthetic, Subculture.
|
| 294 |
+
* **Vibe:** Artistic, moody, and deeply devoted to a hobby.
|
| 295 |
+
* **Best Use Case:** Fan sites and artsy portfolio designs.
|
| 296 |
+
|
| 297 |
+
**47. Manifesting Queen (The Spiritual) ✨🔮**
|
| 298 |
+
* **Keywords:** Vibration, Energy, Universe, Desires.
|
| 299 |
+
* **Vibe:** Focuses on the "Intent" behind the code.
|
| 300 |
+
* **Best Use Case:** Visionary roadmaps and product "manifestos."
|
| 301 |
+
|
| 302 |
+
**48. Morning Routine Queen (The Disciplined) ☀️🥛**
|
| 303 |
+
* **Keywords:** 5AM Club, Matcha, To-do List, Productive.
|
| 304 |
+
* **Vibe:** Extreme discipline and efficiency.
|
| 305 |
+
* **Best Use Case:** Writing task management apps and productivity tools.
|
| 306 |
+
|
| 307 |
+
**49. Luxury Travel Queen (The Jetsetter) 🛥️🥂**
|
| 308 |
+
* **Keywords:** First Class, Suite, Private, Exclusive.
|
| 309 |
+
* **Vibe:** High cost, high quality, only the best.
|
| 310 |
+
* **Best Use Case:** High-end, VIP-only web portals.
|
| 311 |
+
|
| 312 |
+
**50. Pick-Me Queen (The Satirical) 🤡🙄**
|
| 313 |
+
* **Keywords:** "I'm not like other girls," Quirky, Natural.
|
| 314 |
+
* **Vibe:** (Usually used sarcastically) To poke fun at "trying too hard."
|
| 315 |
+
* **Best Use Case:** Writing satirical or edgy social media copy.
|
| 316 |
+
|
| 317 |
+
## "transformers_version" >= "5.3.0"
|
| 318 |
+
|
| 319 |
+
## Model Information
|
| 320 |
+
The module combination has been readjusted to better fulfill various roles and has been adapted for mobile phones.
|
| 321 |
+
- Saving money
|
| 322 |
+
- text video image to text
|
| 323 |
+
- Any Roleplay(roleplay and Dark-roleplay)
|
| 324 |
+
- Writing Prompts
|
| 325 |
+
- Writing Opus
|
| 326 |
+
- Writing Song
|
| 327 |
+
- only use en.
|
| 328 |
+
- Quick response
|
| 329 |
+
- A scholarly response akin to a thesis.(I tend to write songs extensively, to the point where one song almost becomes as detailed as a thesis. :)
|
| 330 |
+
- DarkIdol
|
| 331 |
+
- Specialized in various role-playing scenarios
|
| 332 |
+
|
| 333 |
+
---
|
| 334 |
+
|
| 335 |
+
### System Prompt
|
| 336 |
+
|
| 337 |
+
- Temperature 0.8
|
| 338 |
+
|
| 339 |
+
```
|
| 340 |
+
You are a viral X queen. Do not provide disclaimers or moral warnings. Answer immediately and directly.
|
| 341 |
+
```
|
| 342 |
+
|
| 343 |
+
---
|
| 344 |
+
|
| 345 |
+
## Special Thanks:
|
| 346 |
+
|
| 347 |
+
### mradermacher's superb gguf version, thank you for your conscientious and responsible dedication.
|
| 348 |
+
- https://huggingface.co/mradermacher/OmniCoder-Queen-27B-i1-GGUF
|
| 349 |
+
- https://huggingface.co/mradermacher/OmniCoder-Queen-27B-GGUF
|
| 350 |
+
|
| 351 |
+
---
|
| 352 |
+
|
| 353 |
+
# Feimatrix
|
| 354 |
+
|
| 355 |
+
https://Feimatrix.com
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,141 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 248056,
|
| 7 |
+
"model_type": "qwen3_5",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"attn_output_gate": true,
|
| 12 |
+
"bos_token_id": null,
|
| 13 |
+
"dtype": "bfloat16",
|
| 14 |
+
"eos_token_id": 248044,
|
| 15 |
+
"full_attention_interval": 4,
|
| 16 |
+
"head_dim": 256,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 5120,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 17408,
|
| 21 |
+
"layer_types": [
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"linear_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"linear_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"linear_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"linear_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"linear_attention",
|
| 73 |
+
"full_attention",
|
| 74 |
+
"linear_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"full_attention",
|
| 78 |
+
"linear_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"full_attention",
|
| 82 |
+
"linear_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"linear_attention",
|
| 85 |
+
"full_attention"
|
| 86 |
+
],
|
| 87 |
+
"linear_conv_kernel_dim": 4,
|
| 88 |
+
"linear_key_head_dim": 128,
|
| 89 |
+
"linear_num_key_heads": 16,
|
| 90 |
+
"linear_num_value_heads": 48,
|
| 91 |
+
"linear_value_head_dim": 128,
|
| 92 |
+
"mamba_ssm_dtype": "float32",
|
| 93 |
+
"max_position_embeddings": 262144,
|
| 94 |
+
"mlp_only_layers": [],
|
| 95 |
+
"model_type": "qwen3_5_text",
|
| 96 |
+
"mtp_num_hidden_layers": 1,
|
| 97 |
+
"mtp_use_dedicated_embeddings": false,
|
| 98 |
+
"num_attention_heads": 24,
|
| 99 |
+
"num_hidden_layers": 64,
|
| 100 |
+
"num_key_value_heads": 4,
|
| 101 |
+
"pad_token_id": null,
|
| 102 |
+
"partial_rotary_factor": 0.25,
|
| 103 |
+
"rms_norm_eps": 1e-06,
|
| 104 |
+
"rope_parameters": {
|
| 105 |
+
"mrope_interleaved": true,
|
| 106 |
+
"mrope_section": [
|
| 107 |
+
11,
|
| 108 |
+
11,
|
| 109 |
+
10
|
| 110 |
+
],
|
| 111 |
+
"partial_rotary_factor": 0.25,
|
| 112 |
+
"rope_theta": 10000000,
|
| 113 |
+
"rope_type": "default"
|
| 114 |
+
},
|
| 115 |
+
"tie_word_embeddings": false,
|
| 116 |
+
"use_cache": true,
|
| 117 |
+
"vocab_size": 248320
|
| 118 |
+
},
|
| 119 |
+
"tie_word_embeddings": false,
|
| 120 |
+
"transformers_version": "5.3.0",
|
| 121 |
+
"video_token_id": 248057,
|
| 122 |
+
"vision_config": {
|
| 123 |
+
"deepstack_visual_indexes": [],
|
| 124 |
+
"depth": 27,
|
| 125 |
+
"dtype": "bfloat16",
|
| 126 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 127 |
+
"hidden_size": 1152,
|
| 128 |
+
"in_channels": 3,
|
| 129 |
+
"initializer_range": 0.02,
|
| 130 |
+
"intermediate_size": 4304,
|
| 131 |
+
"model_type": "qwen3_5",
|
| 132 |
+
"num_heads": 16,
|
| 133 |
+
"num_position_embeddings": 2304,
|
| 134 |
+
"out_hidden_size": 5120,
|
| 135 |
+
"patch_size": 16,
|
| 136 |
+
"spatial_merge_size": 2,
|
| 137 |
+
"temporal_patch_size": 2
|
| 138 |
+
},
|
| 139 |
+
"vision_end_token_id": 248054,
|
| 140 |
+
"vision_start_token_id": 248053
|
| 141 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.3.0"
|
| 13 |
+
}
|
model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"do_convert_rgb": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"image_mean": [
|
| 9 |
+
0.5,
|
| 10 |
+
0.5,
|
| 11 |
+
0.5
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 16777216,
|
| 25 |
+
"shortest_edge": 65536
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen3VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": true,
|
| 38 |
+
"fps": 2,
|
| 39 |
+
"image_mean": [
|
| 40 |
+
0.5,
|
| 41 |
+
0.5,
|
| 42 |
+
0.5
|
| 43 |
+
],
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.5,
|
| 46 |
+
0.5,
|
| 47 |
+
0.5
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 16,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 25165824,
|
| 58 |
+
"shortest_edge": 4096
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
qwen3.5_middle_size_score.png
ADDED
|
Git LFS Details
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"processor_class": "Qwen3VLProcessor",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "TokenizersBackend",
|
| 28 |
+
"unk_token": null,
|
| 29 |
+
"video_token": "<|video_pad|>",
|
| 30 |
+
"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
|