Instructions to use Fischerboot/test-local-mergekit-shit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fischerboot/test-local-mergekit-shit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Fischerboot/test-local-mergekit-shit")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Fischerboot/test-local-mergekit-shit") model = AutoModelForMultimodalLM.from_pretrained("Fischerboot/test-local-mergekit-shit") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Fischerboot/test-local-mergekit-shit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Fischerboot/test-local-mergekit-shit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Fischerboot/test-local-mergekit-shit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Fischerboot/test-local-mergekit-shit
- SGLang
How to use Fischerboot/test-local-mergekit-shit 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 "Fischerboot/test-local-mergekit-shit" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Fischerboot/test-local-mergekit-shit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "Fischerboot/test-local-mergekit-shit" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Fischerboot/test-local-mergekit-shit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Fischerboot/test-local-mergekit-shit with Docker Model Runner:
docker model run hf.co/Fischerboot/test-local-mergekit-shit
| dtype: bfloat16 | |
| merge_method: passthrough | |
| slices: | |
| - sources: | |
| - layer_range: [0, 16] # angepasst von [0, 24] auf [0, 16] | |
| model: concedo/KobbleTinyV2-1.1B | |
| - sources: | |
| - layer_range: [5, 16] # angepasst von [8, 24] auf [5, 16] | |
| model: concedo/KobbleTinyV2-1.1B | |
| parameters: | |
| scale: | |
| - filter: o_proj | |
| value: 0.0 | |
| - filter: down_proj | |
| value: 0.0 | |
| - value: 1.0 | |
| - sources: | |
| - layer_range: [5, 16] # angepasst von [8, 24] auf [5, 16] | |
| model: concedo/KobbleTinyV2-1.1B | |
| parameters: | |
| scale: | |
| - filter: o_proj | |
| value: 0.0 | |
| - filter: down_proj | |
| value: 0.0 | |
| - value: 1.0 | |
| - sources: | |
| - layer_range: [16, 22] # angepasst von [24, 32] auf [16, 22] | |
| model: concedo/KobbleTinyV2-1.1B | |