Instructions to use mrm8488/mamba-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mrm8488/mamba-coder with Transformers:

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

pipe = pipeline("text-generation", model="mrm8488/mamba-coder")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mrm8488/mamba-coder", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mrm8488/mamba-coder with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mrm8488/mamba-coder"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrm8488/mamba-coder",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mrm8488/mamba-coder

SGLang

How to use mrm8488/mamba-coder 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 "mrm8488/mamba-coder" \
    --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": "mrm8488/mamba-coder",
		"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 "mrm8488/mamba-coder" \
        --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": "mrm8488/mamba-coder",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mrm8488/mamba-coder with Docker Model Runner:
```
docker model run hf.co/mrm8488/mamba-coder
```

mrm8488 commited on Jan 23, 2024

Commit

b4c03a2

verified ·

1 Parent(s): a199dd2

Update README.md

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@@ -3,7 +3,7 @@ license: wtfpl
 datasets:
 - HuggingFaceH4/CodeAlpaca_20K
 pipeline_tag: text-generation
-thumbnail:
 language:
 - en
 - code
@@ -13,7 +13,7 @@ language:
 ## MAMBA (2.8B) 🐍 fine-tuned on CodeAlpaca_20k for code generation
 <div style="text-align:center;width:250px;height:250px;">
-    <img src="" alt="mamba-coder logo"">
 </div>

 datasets:
 - HuggingFaceH4/CodeAlpaca_20K
 pipeline_tag: text-generation
+thumbnail: https://huggingface.co/mrm8488/mamba-coder/resolve/main/mamba-coder-no-bg.png
 language:
 - en
 - code
 ## MAMBA (2.8B) 🐍 fine-tuned on CodeAlpaca_20k for code generation
 <div style="text-align:center;width:250px;height:250px;">
+    <img src="https://huggingface.co/mrm8488/mamba-coder/resolve/main/mamba-coder-no-bg.png" alt="mamba-coder logo"">
 </div>