Text Generation
Transformers
Safetensors
English
mistral
mergekit
Merge
roleplay
Eval Results (legacy)
text-generation-inference
Instructions to use FallenMerick/Chewy-Lemon-Cookie-11B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FallenMerick/Chewy-Lemon-Cookie-11B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FallenMerick/Chewy-Lemon-Cookie-11B")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("FallenMerick/Chewy-Lemon-Cookie-11B") model = AutoModelForMultimodalLM.from_pretrained("FallenMerick/Chewy-Lemon-Cookie-11B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FallenMerick/Chewy-Lemon-Cookie-11B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FallenMerick/Chewy-Lemon-Cookie-11B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FallenMerick/Chewy-Lemon-Cookie-11B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/FallenMerick/Chewy-Lemon-Cookie-11B
- SGLang
How to use FallenMerick/Chewy-Lemon-Cookie-11B 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 "FallenMerick/Chewy-Lemon-Cookie-11B" \ --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": "FallenMerick/Chewy-Lemon-Cookie-11B", "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 "FallenMerick/Chewy-Lemon-Cookie-11B" \ --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": "FallenMerick/Chewy-Lemon-Cookie-11B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use FallenMerick/Chewy-Lemon-Cookie-11B with Docker Model Runner:
docker model run hf.co/FallenMerick/Chewy-Lemon-Cookie-11B
| slices: | |
| - sources: | |
| - model: SanjiWatsuki/Kunoichi-7B | |
| layer_range: [0, 24] | |
| - sources: | |
| - model: SanjiWatsuki/Silicon-Maid-7B | |
| layer_range: [8, 24] | |
| - sources: | |
| - model: KatyTheCutie/LemonadeRP-4.5.3 | |
| layer_range: [24, 32] | |
| merge_method: passthrough | |
| dtype: bfloat16 | |
| name: Big-Lemon-Cookie-11B-BF16 | |
| models: | |
| - model: Big-Lemon-Cookie-11B-BF16 | |
| parameters: | |
| weight: 0.85 | |
| - model: Sao10K/Fimbulvetr-11B-v2 | |
| parameters: | |
| weight: 0.15 | |
| merge_method: task_arithmetic | |
| base_model: Big-Lemon-Cookie-11B-BF16 | |
| dtype: bfloat16 | |
| name: Chewy-Lemon-Cookie-11B |