Instructions to use ClosRise/RandomNandi_200m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ClosRise/RandomNandi_200m with Transformers:

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

pipe = pipeline("text-generation", model="ClosRise/RandomNandi_200m")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ClosRise/RandomNandi_200m")
model = AutoModelForCausalLM.from_pretrained("ClosRise/RandomNandi_200m")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ClosRise/RandomNandi_200m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ClosRise/RandomNandi_200m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ClosRise/RandomNandi_200m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ClosRise/RandomNandi_200m

SGLang

How to use ClosRise/RandomNandi_200m 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 "ClosRise/RandomNandi_200m" \
    --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": "ClosRise/RandomNandi_200m",
		"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 "ClosRise/RandomNandi_200m" \
        --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": "ClosRise/RandomNandi_200m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ClosRise/RandomNandi_200m with Docker Model Runner:
```
docker model run hf.co/ClosRise/RandomNandi_200m
```

RandomNandi_200m

Commit History

Update README.md

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Update README.md

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Upload tokenizer

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Upload LlamaForCausalLM

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Черняев Тимофей commited on 16 days ago

initial commit

4b23fe5
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Черняев Тимофей commited on 16 days ago

Commit History

Update README.md 07107af verified

Update README.md 242da14 verified

Update README.md 3d00941 verified

Upload tokenizer 9c87b6a verified

Upload LlamaForCausalLM cb197c8 verified

initial commit 4b23fe5 verified

Update README.md

07107af
verified

Update README.md

242da14
verified

Update README.md

3d00941
verified

Upload tokenizer

9c87b6a
verified

Upload LlamaForCausalLM

cb197c8
verified

initial commit

4b23fe5
verified