Instructions to use sohv/nanokimi-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sohv/nanokimi-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sohv/nanokimi-mini", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("sohv/nanokimi-mini", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use sohv/nanokimi-mini with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sohv/nanokimi-mini" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sohv/nanokimi-mini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/sohv/nanokimi-mini
- SGLang
How to use sohv/nanokimi-mini 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 "sohv/nanokimi-mini" \ --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": "sohv/nanokimi-mini", "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 "sohv/nanokimi-mini" \ --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": "sohv/nanokimi-mini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use sohv/nanokimi-mini with Docker Model Runner:
docker model run hf.co/sohv/nanokimi-mini
File size: 540 Bytes
2df3070 | 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 | {
"model_type": "kimi-k2",
"vocab_size": 50304,
"n_layer": 12,
"n_head": 12,
"n_embd": 768,
"dropout": 0.0,
"bias": true,
"use_moe": true,
"num_experts": 8,
"expert_capacity": 32,
"top_k_experts": 2,
"use_latent_attention": true,
"latent_dim": 64,
"block_size": 256,
"tokenizer": "tiktoken/gpt2",
"architectures": [
"KimiK2ForCausalLM"
],
"torch_dtype": "float32",
"auto_map": {
"AutoConfig": "modeling_kimik2.KimiK2Config",
"AutoModelForCausalLM": "modeling_kimik2.KimiK2ForCausalLM"
}
} |