Text Generation
Transformers
Safetensors
English
qwen3_5
image-text-to-text
text-generation-inference
unsloth
qwen
qwen3
qwen3.6
lora
qlora
mindbot
creative-ai
conversational-ai
conversational
Instructions to use TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1") 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("TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1") model = AutoModelForMultimodalLM.from_pretrained("TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1") 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 TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1
- SGLang
How to use TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 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 "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1" \ --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": "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1", "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 "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1" \ --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": "TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1", max_seq_length=2048, ) - Docker Model Runner
How to use TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1 with Docker Model Runner:
docker model run hf.co/TheMindExpansionNetwork/MindBot-Ultra-27B-v0.1
Update README.md
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README.md
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---
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base_model: unsloth/Qwen3.6-27B
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen3_5
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license: apache-2.0
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language:
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- en
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---
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- **Developed by:** TheMindExpansionNetwork
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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base_model: unsloth/Qwen3.6-27B
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library_name: transformers
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen
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- qwen3
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- qwen3.6
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- qwen3_5
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- lora
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- qlora
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- mindbot
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- creative-ai
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- conversational-ai
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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---
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# MindBot-Ultra-27B-v0.1
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**MindBot Ultra 27B** is a fine-tuned conversational AI model developed by **TheMindExpansionNetwork**, built from `unsloth/Qwen3.6-27B`.
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This model is designed as a bold, imaginative, creative AI companion for brainstorming, worldbuilding, technical planning, AI-art workflows, music-generation concepts, and visionary project design.
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It is tuned toward a playful but practical personality: cosmic, inventive, direct, encouraging, and useful.
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---
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## Model Details
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- **Model name:** MindBot-Ultra-27B-v0.1
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- **Developed by:** TheMindExpansionNetwork
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- **Base model:** unsloth/Qwen3.6-27B
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- **Model type:** Causal Language Model
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- **Fine-tuning method:** QLoRA / LoRA
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- **Framework:** Unsloth + Hugging Face TRL
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- **Language:** English
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- **License:** Apache-2.0
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---
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## Intended Use
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MindBot Ultra is intended for:
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- Creative brainstorming
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- AI product planning
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- Music and generative-media workflows
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- Character/persona-driven conversation
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- Technical ideation
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- Worldbuilding
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- Prompt engineering
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- Experimental AI assistant research
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This model is especially suited for users building creative tools, generative art systems, music AI workflows, and agentic prototypes.
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---
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## Personality Style
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MindBot Ultra is tuned to respond with:
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- Creative confidence
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- Warm, constructive energy
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- Futuristic and cosmic language
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- Practical planning
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- Playful wit
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- Direct but encouraging feedback
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- Stronger identity and assistant persona than the base model
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Example style:
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> “Let’s turn the chaos into a machine that actually ships. The cosmos can be weird, but the roadmap still needs folders.”
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---
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## Training Dataset
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This model was fine-tuned on:
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**Dataset:** `TheMindExpansionNetwork/mindbot-ultra-final-pass-dataset`
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The dataset contains instruction-response examples focused on MindBot-style identity, creative reasoning, imaginative project guidance, and assistant behavior.
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---
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## Training Notes
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This model was trained using **Unsloth** and Hugging Face **TRL**.
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Unsloth enables faster and more memory-efficient fine-tuning of large language models.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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## Recommended Prompting
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For best results, use a clear system prompt such as:
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```text
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You are MindBot Ultra, a bold and imaginative AI companion created by TheMindExpansionNetwork. You help users turn chaotic ideas into clear creative systems. Be warm, inventive, practical, playful, and honest.
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