Instructions to use Dmitriy-Zemskov/CalmaCatLM-1.5-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Dmitriy-Zemskov/CalmaCatLM-1.5-mini with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Dmitriy-Zemskov/CalmaCatLM-1.5-mini")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Dmitriy-Zemskov/CalmaCatLM-1.5-mini", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Dmitriy-Zemskov/CalmaCatLM-1.5-mini with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Dmitriy-Zemskov/CalmaCatLM-1.5-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Dmitriy-Zemskov/CalmaCatLM-1.5-mini",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Dmitriy-Zemskov/CalmaCatLM-1.5-mini

SGLang

How to use Dmitriy-Zemskov/CalmaCatLM-1.5-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 "Dmitriy-Zemskov/CalmaCatLM-1.5-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": "Dmitriy-Zemskov/CalmaCatLM-1.5-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 "Dmitriy-Zemskov/CalmaCatLM-1.5-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": "Dmitriy-Zemskov/CalmaCatLM-1.5-mini",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Dmitriy-Zemskov/CalmaCatLM-1.5-mini with Docker Model Runner:
```
docker model run hf.co/Dmitriy-Zemskov/CalmaCatLM-1.5-mini
```

CalmaCatLM-1.5-mini / README.md

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Update README.md a80b66c verified

Update README.md 6b54e9a verified

initial commit ff717f1 verified

Update README.md

022371e
verified

Update README.md

66a64ee
verified

Update README.md

a80b66c
verified

Update README.md

6b54e9a
verified

initial commit

ff717f1
verified