Instructions to use vikhyatk/moondream2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikhyatk/moondream2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="vikhyatk/moondream2", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("vikhyatk/moondream2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use vikhyatk/moondream2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "vikhyatk/moondream2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "vikhyatk/moondream2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/vikhyatk/moondream2
- SGLang
How to use vikhyatk/moondream2 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 "vikhyatk/moondream2" \ --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": "vikhyatk/moondream2", "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 "vikhyatk/moondream2" \ --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": "vikhyatk/moondream2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use vikhyatk/moondream2 with Docker Model Runner:
docker model run hf.co/vikhyatk/moondream2
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
pipeline_tag: image-text-to-text
|
|
|
|
| 4 |
---
|
| 5 |
|
| 6 |
⚠️ This repository contains the latest version of Moondream 2, our previous generation model. The latest version of Moondream is [Moondream 3 (Preview)](https://huggingface.co/moondream/moondream3-preview).
|
|
@@ -84,4 +85,4 @@ print(f"Found {len(points)} person(s)")
|
|
| 84 |
4. Improved text understanding (e.g. OCRBench increased from 58.3 to 61.2)
|
| 85 |
5. Improved object detection, especially for small objects (e.g. COCO up from 30.5 to 51.2)
|
| 86 |
6. Fixed token streaming bug affecting multi-byte unicode characters
|
| 87 |
-
7. gpt-fast style `compile()` now supported in HF Transformers implementation
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
pipeline_tag: image-text-to-text
|
| 4 |
+
new_version: moondream/moondream3-preview
|
| 5 |
---
|
| 6 |
|
| 7 |
⚠️ This repository contains the latest version of Moondream 2, our previous generation model. The latest version of Moondream is [Moondream 3 (Preview)](https://huggingface.co/moondream/moondream3-preview).
|
|
|
|
| 85 |
4. Improved text understanding (e.g. OCRBench increased from 58.3 to 61.2)
|
| 86 |
5. Improved object detection, especially for small objects (e.g. COCO up from 30.5 to 51.2)
|
| 87 |
6. Fixed token streaming bug affecting multi-byte unicode characters
|
| 88 |
+
7. gpt-fast style `compile()` now supported in HF Transformers implementation
|