Instructions to use Sathvik0101/cyber-duel-tiny-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sathvik0101/cyber-duel-tiny-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m-it") model = PeftModel.from_pretrained(base_model, "Sathvik0101/cyber-duel-tiny-adapter") - Transformers
How to use Sathvik0101/cyber-duel-tiny-adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sathvik0101/cyber-duel-tiny-adapter") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sathvik0101/cyber-duel-tiny-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Sathvik0101/cyber-duel-tiny-adapter with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sathvik0101/cyber-duel-tiny-adapter" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sathvik0101/cyber-duel-tiny-adapter", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sathvik0101/cyber-duel-tiny-adapter
- SGLang
How to use Sathvik0101/cyber-duel-tiny-adapter 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 "Sathvik0101/cyber-duel-tiny-adapter" \ --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": "Sathvik0101/cyber-duel-tiny-adapter", "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 "Sathvik0101/cyber-duel-tiny-adapter" \ --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": "Sathvik0101/cyber-duel-tiny-adapter", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Sathvik0101/cyber-duel-tiny-adapter with Docker Model Runner:
docker model run hf.co/Sathvik0101/cyber-duel-tiny-adapter
| {{ bos_token }} | |
| {%- if messages[0]['role'] == 'system' -%} | |
| {%- if messages[0]['content'] is string -%} | |
| {%- set first_user_prefix = messages[0]['content'] + ' | |
| ' -%} | |
| {%- else -%} | |
| {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' | |
| ' -%} | |
| {%- endif -%} | |
| {%- 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 -%} | |
| {{ '<start_of_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'] == 'image' -%} | |
| {{ '<start_of_image>' }} | |
| {%- elif item['type'] == 'text' -%} | |
| {{ item['text'] | trim }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{ raise_exception("Invalid content type") }} | |
| {%- endif -%} | |
| {{ '<end_of_turn> | |
| ' }} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| {{'<start_of_turn>model | |
| '}} | |
| {%- endif -%} | |