Instructions to use IFM/CrystalChat-7B-Web2Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IFM/CrystalChat-7B-Web2Code with Transformers:

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

pipe = pipeline("text-generation", model="IFM/CrystalChat-7B-Web2Code", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("IFM/CrystalChat-7B-Web2Code", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use IFM/CrystalChat-7B-Web2Code with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "IFM/CrystalChat-7B-Web2Code"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "IFM/CrystalChat-7B-Web2Code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/IFM/CrystalChat-7B-Web2Code

SGLang

How to use IFM/CrystalChat-7B-Web2Code 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 "IFM/CrystalChat-7B-Web2Code" \
    --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": "IFM/CrystalChat-7B-Web2Code",
		"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 "IFM/CrystalChat-7B-Web2Code" \
        --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": "IFM/CrystalChat-7B-Web2Code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use IFM/CrystalChat-7B-Web2Code with Docker Model Runner:
```
docker model run hf.co/IFM/CrystalChat-7B-Web2Code
```

victormiller commited on Oct 17, 2024

Commit

77ecb22

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1 Parent(s): bb3ebe4

Update README.md

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@@ -47,6 +47,7 @@ Utilizing the same images as the WUB, this benchmark evaluates a multimodal mode
 |                        |      | ✓   |                  |                  | 3.898  | 3.489  | 3.340  | 3.651  | 3.595      |
 |                        | ✓    | ✓   | ✓                | ✓                | **7.876**  | **7.687**  | **7.267**  | **7.563**  | **7.598**      |
 | **Llama3-8B**          | ✓    | ✓   | ✓                | ✓                | **8.522**  | **8.564**  | **8.421**  | **8.611**  | **8.530**      |
 **Table 1:** The performance of different LLM backbones under various data configurations on our Webpage Code Generation Benchmark (WCGB). "VSA" denotes Visual Structure and Alignment, "CAD" represents Color and Aesthetic Design, "TCC" represents Textual and Content Consistency, and "UII" denotes User Interface and Interactivity.
 ## Webpage Understanding Benchmark (WUB)

 |                        |      | ✓   |                  |                  | 3.898  | 3.489  | 3.340  | 3.651  | 3.595      |
 |                        | ✓    | ✓   | ✓                | ✓                | **7.876**  | **7.687**  | **7.267**  | **7.563**  | **7.598**      |
 | **Llama3-8B**          | ✓    | ✓   | ✓                | ✓                | **8.522**  | **8.564**  | **8.421**  | **8.611**  | **8.530**      |
 **Table 1:** The performance of different LLM backbones under various data configurations on our Webpage Code Generation Benchmark (WCGB). "VSA" denotes Visual Structure and Alignment, "CAD" represents Color and Aesthetic Design, "TCC" represents Textual and Content Consistency, and "UII" denotes User Interface and Interactivity.
 ## Webpage Understanding Benchmark (WUB)