Instructions to use FreedomIntelligence/LongLLaVA-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FreedomIntelligence/LongLLaVA-9B with Transformers:

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

pipe = pipeline("image-text-to-text", model="FreedomIntelligence/LongLLaVA-9B", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/LongLLaVA-9B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use FreedomIntelligence/LongLLaVA-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FreedomIntelligence/LongLLaVA-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FreedomIntelligence/LongLLaVA-9B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FreedomIntelligence/LongLLaVA-9B

SGLang

How to use FreedomIntelligence/LongLLaVA-9B 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 "FreedomIntelligence/LongLLaVA-9B" \
    --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": "FreedomIntelligence/LongLLaVA-9B",
		"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 "FreedomIntelligence/LongLLaVA-9B" \
        --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": "FreedomIntelligence/LongLLaVA-9B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FreedomIntelligence/LongLLaVA-9B with Docker Model Runner:
```
docker model run hf.co/FreedomIntelligence/LongLLaVA-9B
```

Xidong commited on Oct 12, 2024

Commit

7887e74

verified ·

1 Parent(s): a5f609a

Update README.md

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Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -9,7 +9,7 @@ pipeline_tag: image-text-to-text
    📃 <a href="https://arxiv.org/abs/2409.02889" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 📃 <a href="https://github.com/FreedomIntelligence/LongLLaVA" target="_blank">Github</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/LongLLaVA-53B-A13B" target="_blank">LongLLaVA-53B-A13B</a>
 </p>
-![efficiency](./assets/assets_singleGPU.png)
 ## 🌈 Update
@@ -21,7 +21,7 @@ pipeline_tag: image-text-to-text
 <details>
   <summary>Click to view the architecture image</summary>
-  ![Architecture Image](./assets/assets_arch.png)
 </details>
@@ -32,11 +32,11 @@ pipeline_tag: image-text-to-text
   <summary>Click to view the Results</summary>
   - Main Results
-      ![Main Results](./assets/assets_result1.png)
   - Diagnostic Results
-      ![Diagnostic Results](./assets/assets_diaresult.png)
   - Video-NIAH
-      ![Video-NIAH](./assets/assets_NIAH.png)
 </details>

    📃 <a href="https://arxiv.org/abs/2409.02889" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 📃 <a href="https://github.com/FreedomIntelligence/LongLLaVA" target="_blank">Github</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/LongLLaVA-53B-A13B" target="_blank">LongLLaVA-53B-A13B</a>
 </p>
+![efficiency](./assets/singleGPU.png)
 ## 🌈 Update
 <details>
   <summary>Click to view the architecture image</summary>
+  ![Architecture Image](./assets/arch.png)
 </details>
   <summary>Click to view the Results</summary>
   - Main Results
+      ![Main Results](./assets/result1.png)
   - Diagnostic Results
+      ![Diagnostic Results](./assets/diaresult.png)
   - Video-NIAH
+      ![Video-NIAH](./assets/NIAH.png)
 </details>