Text Generation
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Mixture of Experts
Merge
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673_trillion_parameters
Instructions to use ZeppelinCorp/Charm_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZeppelinCorp/Charm_15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ZeppelinCorp/Charm_15")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ZeppelinCorp/Charm_15") model = AutoModelForCausalLM.from_pretrained("ZeppelinCorp/Charm_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ZeppelinCorp/Charm_15 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ZeppelinCorp/Charm_15" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ZeppelinCorp/Charm_15", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ZeppelinCorp/Charm_15
- SGLang
How to use ZeppelinCorp/Charm_15 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 "ZeppelinCorp/Charm_15" \ --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": "ZeppelinCorp/Charm_15", "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 "ZeppelinCorp/Charm_15" \ --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": "ZeppelinCorp/Charm_15", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ZeppelinCorp/Charm_15 with Docker Model Runner:
docker model run hf.co/ZeppelinCorp/Charm_15
File size: 643 Bytes
aa3647a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {
"version": "1.0",
"model": "BPE",
"vocab": {
"<|begoftext|>": 0,
"<|endoftext|>": 1,
"<pad>": 2,
"<unk>": 3,
"the": 4,
"a": 5,
"and": 6,
"to": 7,
"of": 8,
"in": 9,
"I": 10,
"is": 11,
"it": 12,
".": 13,
",": 14,
"th": 15,
"an": 16,
"ing": 17,
"er": 18,
"on": 19
},
"merges": [
"t h",
"th e",
"a n",
"a nd",
"i n",
"o f",
"to k",
"i s",
"in g",
"e r",
"o n"
],
"special_tokens": {
"pad_token": "<pad>",
"bos_token": "<|begoftext|>",
"eos_token": "<|endoftext|>",
"unk_token": "<unk>"
}
} |