Instructions to use hf-internal-testing/pixtral-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hf-internal-testing/pixtral-12b with Transformers:

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

pipe = pipeline("image-text-to-text", model="hf-internal-testing/pixtral-12b")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("hf-internal-testing/pixtral-12b")
model = AutoModelForImageTextToText.from_pretrained("hf-internal-testing/pixtral-12b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use hf-internal-testing/pixtral-12b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hf-internal-testing/pixtral-12b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hf-internal-testing/pixtral-12b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/hf-internal-testing/pixtral-12b

SGLang

How to use hf-internal-testing/pixtral-12b 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 "hf-internal-testing/pixtral-12b" \
    --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": "hf-internal-testing/pixtral-12b",
		"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 "hf-internal-testing/pixtral-12b" \
        --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": "hf-internal-testing/pixtral-12b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use hf-internal-testing/pixtral-12b with Docker Model Runner:
```
docker model run hf.co/hf-internal-testing/pixtral-12b
```

config_update

by varbspkrl - opened Sep 18, 2024

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-0

Files changed (1) hide show

config.json +2 -0

config.json CHANGED Viewed

@@ -11,6 +11,8 @@
   "text_config": {
     "hidden_size": 5120,
     "intermediate_size": 14336,
     "max_position_embeddings": 1024000,
     "model_type": "mistral",
     "num_hidden_layers": 40,

   "text_config": {
     "hidden_size": 5120,
     "intermediate_size": 14336,
+    "num_attention_heads": 32,
+    "head_dim": 128,
     "max_position_embeddings": 1024000,
     "model_type": "mistral",
     "num_hidden_layers": 40,