Text Generation
PEFT
Safetensors
English
gemma4
unsloth
lora
qlora
fine-tuning
hackathon
gemma-4-good-hackathon
kaggle
conversational
Instructions to use bradduy/Any2AnyModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bradduy/Any2AnyModels with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-E4B-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "bradduy/Any2AnyModels") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use bradduy/Any2AnyModels 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 bradduy/Any2AnyModels 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 bradduy/Any2AnyModels to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bradduy/Any2AnyModels to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bradduy/Any2AnyModels", max_seq_length=2048, )
| {{ bos_token }}{%- if messages[0]['role'] == 'system' -%} | |
| {%- set first_user_prefix = messages[0]['content'] + ' | |
| ' -%} | |
| {%- set loop_messages = messages[1:] -%} | |
| {%- else -%} | |
| {%- set first_user_prefix = "" -%} | |
| {%- set loop_messages = messages -%} | |
| {%- endif -%} | |
| {%- for message in loop_messages -%} | |
| {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} | |
| {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} | |
| {%- endif -%} | |
| {%- if (message['role'] == 'assistant') -%} | |
| {%- set role = "model" -%} | |
| {%- else -%} | |
| {%- set role = message['role'] -%} | |
| {%- endif -%} | |
| {{ '<|turn>' + role + ' | |
| ' + (first_user_prefix if loop.first else "") }} | |
| {%- if message['content'] is string -%} | |
| {{ message['content'] | trim }} | |
| {%- elif message['content'] is iterable -%} | |
| {%- for item in message['content'] -%} | |
| {%- if item['type'] == 'audio' -%} | |
| {{ '<|audio|>' }} | |
| {%- elif item['type'] == 'image' -%} | |
| {{ '<|image|>' }} | |
| {%- elif item['type'] == 'video' -%} | |
| {{ '<|video|>' }} | |
| {%- elif item['type'] == 'text' -%} | |
| {{ item['text'] | trim }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{ raise_exception("Invalid content type") }} | |
| {%- endif -%} | |
| {{ '<turn|> | |
| ' }} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| {{'<|turn>model | |
| '}} | |
| {%- endif -%} | |