Instructions to use pruna-test/test-save-tiny-random-llama4-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pruna-test/test-save-tiny-random-llama4-smashed with Transformers:

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

pipe = pipeline("text-generation", model="pruna-test/test-save-tiny-random-llama4-smashed")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pruna-test/test-save-tiny-random-llama4-smashed")
model = AutoModelForCausalLM.from_pretrained("pruna-test/test-save-tiny-random-llama4-smashed", device_map="auto")

Pruna AI

How to use pruna-test/test-save-tiny-random-llama4-smashed with Pruna AI:

# Use a pipeline as a high-level helper
from pruna import PrunaModel

pipe = PrunaModel.from_pretrained("pruna-test/test-save-tiny-random-llama4-smashed")

from pruna import PrunaModel
# Load model directly
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("pruna-test/test-save-tiny-random-llama4-smashed")
model = PrunaModel.from_pretrained("pruna-test/test-save-tiny-random-llama4-smashed", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pruna-test/test-save-tiny-random-llama4-smashed with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pruna-test/test-save-tiny-random-llama4-smashed"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pruna-test/test-save-tiny-random-llama4-smashed",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pruna-test/test-save-tiny-random-llama4-smashed

SGLang

How to use pruna-test/test-save-tiny-random-llama4-smashed 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 "pruna-test/test-save-tiny-random-llama4-smashed" \
    --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": "pruna-test/test-save-tiny-random-llama4-smashed",
		"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 "pruna-test/test-save-tiny-random-llama4-smashed" \
        --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": "pruna-test/test-save-tiny-random-llama4-smashed",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pruna-test/test-save-tiny-random-llama4-smashed with Docker Model Runner:
```
docker model run hf.co/pruna-test/test-save-tiny-random-llama4-smashed
```

begumcig commited on 9 days ago

Commit

eb48587

verified ·

1 Parent(s): a5fd32e

Add files using upload-large-folder tool

Browse files

Files changed (2) hide show

README.md +3 -1
smash_config.json +2 -0

README.md CHANGED Viewed

@@ -1,8 +1,8 @@
 ---
 library_name: transformers
 tags:
-- safetensors
 - pruna-ai
 ---
 # Model Card for pruna-test/test-save-tiny-random-llama4-smashed
@@ -69,6 +69,7 @@ The compression configuration of the model is stored in the `smash_config.json`
     "ring_attn": false,
     "sage_attn": false,
     "stable_fast": false,
     "text_to_image_distillation_inplace_perp": false,
     "text_to_image_distillation_lora": false,
     "text_to_image_distillation_perp": false,
@@ -78,6 +79,7 @@ The compression configuration of the model is stored in the `smash_config.json`
     "text_to_text_inplace_perp": false,
     "text_to_text_lora": false,
     "text_to_text_perp": false,
     "token_merging": false,
     "torch_compile": false,
     "torch_dynamic": false,

 ---
 library_name: transformers
 tags:
 - pruna-ai
+- safetensors
 ---
 # Model Card for pruna-test/test-save-tiny-random-llama4-smashed
     "ring_attn": false,
     "sage_attn": false,
     "stable_fast": false,
+    "static_fp8_diffusers": false,
     "text_to_image_distillation_inplace_perp": false,
     "text_to_image_distillation_lora": false,
     "text_to_image_distillation_perp": false,
     "text_to_text_inplace_perp": false,
     "text_to_text_lora": false,
     "text_to_text_perp": false,
+    "time_aware_fp8_diffusers": false,
     "token_merging": false,
     "torch_compile": false,
     "torch_dynamic": false,

smash_config.json CHANGED Viewed

@@ -28,6 +28,7 @@
     "ring_attn": false,
     "sage_attn": false,
     "stable_fast": false,
     "text_to_image_distillation_inplace_perp": false,
     "text_to_image_distillation_lora": false,
     "text_to_image_distillation_perp": false,
@@ -37,6 +38,7 @@
     "text_to_text_inplace_perp": false,
     "text_to_text_lora": false,
     "text_to_text_perp": false,
     "token_merging": false,
     "torch_compile": false,
     "torch_dynamic": false,

     "ring_attn": false,
     "sage_attn": false,
     "stable_fast": false,
+    "static_fp8_diffusers": false,
     "text_to_image_distillation_inplace_perp": false,
     "text_to_image_distillation_lora": false,
     "text_to_image_distillation_perp": false,
     "text_to_text_inplace_perp": false,
     "text_to_text_lora": false,
     "text_to_text_perp": false,
+    "time_aware_fp8_diffusers": false,
     "token_merging": false,
     "torch_compile": false,
     "torch_dynamic": false,