Text Generation
Transformers
Safetensors
English
klm
custom_code
small-language-model
base
pretrained
hybrid
gated-deltanet
Instructions to use MinimaLabs/KLM-1.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MinimaLabs/KLM-1.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MinimaLabs/KLM-1.6", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MinimaLabs/KLM-1.6", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MinimaLabs/KLM-1.6 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MinimaLabs/KLM-1.6" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MinimaLabs/KLM-1.6", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MinimaLabs/KLM-1.6
- SGLang
How to use MinimaLabs/KLM-1.6 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 "MinimaLabs/KLM-1.6" \ --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": "MinimaLabs/KLM-1.6", "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 "MinimaLabs/KLM-1.6" \ --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": "MinimaLabs/KLM-1.6", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MinimaLabs/KLM-1.6 with Docker Model Runner:
docker model run hf.co/MinimaLabs/KLM-1.6
Download generation_config.json from MinimaLabs/KLM-1.6: direct link, hf CLI and curl.
- Browser
- Download file 798 Bytes
-
https://huggingface.co/MinimaLabs/KLM-1.6/resolve/main/generation_config.json
- Command line
-
hf download hf://MinimaLabs/KLM-1.6/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/MinimaLabs/KLM-1.6/resolve/main/generation_config.json
798 Bytes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "do_sample": true, | |
| "temperature": 0.7, | |
| "top_p": 0.9, | |
| "max_new_tokens": 200, | |
| "use_cache": true, | |
| "suppress_tokens": [ | |
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| } | |