Instructions to use codefuse-ai/CodeFuse-DeepSeek-33B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use codefuse-ai/CodeFuse-DeepSeek-33B with Transformers:

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

pipe = pipeline("text-generation", model="codefuse-ai/CodeFuse-DeepSeek-33B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/CodeFuse-DeepSeek-33B")
model = AutoModelForCausalLM.from_pretrained("codefuse-ai/CodeFuse-DeepSeek-33B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use codefuse-ai/CodeFuse-DeepSeek-33B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codefuse-ai/CodeFuse-DeepSeek-33B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-DeepSeek-33B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/codefuse-ai/CodeFuse-DeepSeek-33B

SGLang

How to use codefuse-ai/CodeFuse-DeepSeek-33B 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 "codefuse-ai/CodeFuse-DeepSeek-33B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-DeepSeek-33B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "codefuse-ai/CodeFuse-DeepSeek-33B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-DeepSeek-33B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use codefuse-ai/CodeFuse-DeepSeek-33B with Docker Model Runner:
```
docker model run hf.co/codefuse-ai/CodeFuse-DeepSeek-33B
```

codefuse-admin commited on Jan 12, 2024

Commit

4163e84

verified ·

1 Parent(s): b5959bb

Update README.md

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@@ -53,8 +53,8 @@ CodeFuse-DeepSeek-33B is a 33B Code-LLM finetuned by QLoRA on multiple code-rela
 | Model                       | HumanEval(pass@1) |  Date   |
 |:----------------------------|:-----------------:|:-------:|
-| **CodeFuse-CodeLlama-34B**  |     **74.4%**      | 2023.9  |
-|**CodeFuse-CodeLlama-34B-4bits** |     **73.8%**  |  2023.9 |
 | WizardCoder-Python-34B-V1.0 |       73.2%       | 2023.8  |
 | GPT-4(zero-shot)            |       67.0%       | 2023.3  |
 | PanGu-Coder2 15B            |       61.6%       | 2023.8  |
@@ -64,9 +64,9 @@ CodeFuse-DeepSeek-33B is a 33B Code-LLM finetuned by QLoRA on multiple code-rela
 | OctoCoder                   |       46.2%       | 2023.8  |
 | StarCoder-15B               |       33.6%       | 2023.5  |
 | Qwen-14b                    |       32.3%       | 2023.10 |
-| **CodeFuse-StarCoder-15B**  |     **54.9%**     | 2023.9  |
-| **CodeFuse-QWen-14B**       |     **48.78%**    | 2023.10 |
-| **CodeFuse-CodeGeeX2-6B**   |     **45.12%**    | 2023.11 |
 | **CodeFuse-DeepSeek-33B**   |     **78.65%**    | 2024.01 |
@@ -220,8 +220,8 @@ CodeFuse-DeepSeek-33B 是一个通过QLoRA对基座模型DeepSeek-Coder-33B进
 | 模型                          | HumanEval(pass@1) |   日期    |
 |:----------------------------|:-----------------:|:-------:|
-| **CodeFuse-CodeLlama-34B**  |     **74.4%**      | 2023.9  |
-|**CodeFuse-CodeLlama-34B-4bits** |     **73.8%**  |  2023.9 |
 | WizardCoder-Python-34B-V1.0 |       73.2%       | 2023.8  |
 | GPT-4(zero-shot)            |       67.0%       | 2023.3  |
 | PanGu-Coder2 15B            |       61.6%       | 2023.8  |
@@ -231,9 +231,9 @@ CodeFuse-DeepSeek-33B 是一个通过QLoRA对基座模型DeepSeek-Coder-33B进
 | OctoCoder                   |       46.2%       | 2023.8  |
 | StarCoder-15B               |       33.6%       | 2023.5  |
 | Qwen-14b               |       32.3%       | 2023.10  |
-| **CodeFuse-StarCoder-15B**  |     **54.9%**     | 2023.9  |
-| **CodeFuse-QWen-14B**       |     **48.78%**     | 2023.8 |
-| **CodeFuse-CodeGeeX2-6B**   |     **45.12%**    | 2023.11 |
 | **CodeFuse-DeepSeek-33B**.  |     **78.65%**    | 2024.01 |

 | Model                       | HumanEval(pass@1) |  Date   |
 |:----------------------------|:-----------------:|:-------:|
+| **CodeFuse-CodeLlama-34B**  |     74.4%      | 2023.9  |
+|**CodeFuse-CodeLlama-34B-4bits** |     73.8%  |  2023.9 |
 | WizardCoder-Python-34B-V1.0 |       73.2%       | 2023.8  |
 | GPT-4(zero-shot)            |       67.0%       | 2023.3  |
 | PanGu-Coder2 15B            |       61.6%       | 2023.8  |
 | OctoCoder                   |       46.2%       | 2023.8  |
 | StarCoder-15B               |       33.6%       | 2023.5  |
 | Qwen-14b                    |       32.3%       | 2023.10 |
+| **CodeFuse-StarCoder-15B**  |     54.9%         | 2023.9  |
+| **CodeFuse-QWen-14B**       |     48.78%        | 2023.10 |
+| **CodeFuse-CodeGeeX2-6B**   |     45.12%        | 2023.11 |
 | **CodeFuse-DeepSeek-33B**   |     **78.65%**    | 2024.01 |
 | 模型                          | HumanEval(pass@1) |   日期    |
 |:----------------------------|:-----------------:|:-------:|
+| **CodeFuse-CodeLlama-34B**  |     74.4%      | 2023.9  |
+|**CodeFuse-CodeLlama-34B-4bits** |     73.8%  |  2023.9 |
 | WizardCoder-Python-34B-V1.0 |       73.2%       | 2023.8  |
 | GPT-4(zero-shot)            |       67.0%       | 2023.3  |
 | PanGu-Coder2 15B            |       61.6%       | 2023.8  |
 | OctoCoder                   |       46.2%       | 2023.8  |
 | StarCoder-15B               |       33.6%       | 2023.5  |
 | Qwen-14b               |       32.3%       | 2023.10  |
+| **CodeFuse-StarCoder-15B**  |     54.9%     | 2023.9  |
+| **CodeFuse-QWen-14B**       |     48.78%     | 2023.8 |
+| **CodeFuse-CodeGeeX2-6B**   |     45.12%    | 2023.11 |
 | **CodeFuse-DeepSeek-33B**.  |     **78.65%**    | 2024.01 |