Instructions to use internlm/AlchemistCoder-CL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use internlm/AlchemistCoder-CL-7B with Transformers:

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

pipe = pipeline("text-generation", model="internlm/AlchemistCoder-CL-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("internlm/AlchemistCoder-CL-7B")
model = AutoModelForCausalLM.from_pretrained("internlm/AlchemistCoder-CL-7B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use internlm/AlchemistCoder-CL-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "internlm/AlchemistCoder-CL-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/AlchemistCoder-CL-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/internlm/AlchemistCoder-CL-7B

SGLang

How to use internlm/AlchemistCoder-CL-7B 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 "internlm/AlchemistCoder-CL-7B" \
    --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": "internlm/AlchemistCoder-CL-7B",
		"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 "internlm/AlchemistCoder-CL-7B" \
        --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": "internlm/AlchemistCoder-CL-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use internlm/AlchemistCoder-CL-7B with Docker Model Runner:
```
docker model run hf.co/internlm/AlchemistCoder-CL-7B
```

pytorch_model files only 33MB?

by bartowski - opened May 30, 2024

Discussion

bartowski

May 30, 2024

Not sure if the upload failed or what, but I can't imagine they're supposed to be that small :D

MatCaviar

May 31, 2024

Thank you for your attention to AlchemistCoder! We have identified this issue caused by network reasons and will update it by the end of this weekend.

MatCaviar changed discussion status to closed Jun 3, 2024

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