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")

# pip install -U transformers accelerate
# 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
# pip install -U transformers accelerate
# 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
```

johnrachwanpruna commited on Jun 20

Commit

67d97a3

verified ·

1 Parent(s): 645fc86

Add files using upload-large-folder tool

Browse files

Files changed (4) hide show

README.md +1 -1
config.json +5 -4
generation_config.json +1 -1
model.safetensors +2 -2

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

 ---
 library_name: transformers
 tags:
 - pruna-ai
+- safetensors
 ---
 # Model Card for pruna-test/test-save-tiny-random-llama4-smashed

config.json CHANGED Viewed

@@ -9,7 +9,7 @@
   "attn_scale": 0.1,
   "attn_temperature_tuning": true,
   "bos_token_id": 200000,
-  "dtype": "float32",
   "eos_token_id": [
     200001,
     200007,
@@ -40,6 +40,7 @@
     3,
     4
   ],
   "no_rope_layers": [
     1,
     1,
@@ -55,18 +56,18 @@
   "output_router_logits": false,
   "pad_token_id": 200018,
   "rms_norm_eps": 1e-05,
-  "rope_scaling": {
     "factor": 8.0,
     "high_freq_factor": 4.0,
     "low_freq_factor": 1.0,
     "original_max_position_embeddings": 8192,
     "rope_type": "llama3"
   },
-  "rope_theta": 500000.0,
   "router_aux_loss_coef": 0.001,
   "router_jitter_noise": 0.0,
   "tie_word_embeddings": false,
-  "transformers_version": "4.57.6",
   "use_cache": true,
   "use_qk_norm": true,
   "vocab_size": 202048

   "attn_scale": 0.1,
   "attn_temperature_tuning": true,
   "bos_token_id": 200000,
+  "dtype": "bfloat16",
   "eos_token_id": [
     200001,
     200007,
     3,
     4
   ],
+  "no_rope_layer_interval": 4,
   "no_rope_layers": [
     1,
     1,
   "output_router_logits": false,
   "pad_token_id": 200018,
   "rms_norm_eps": 1e-05,
+  "rope_parameters": {
     "factor": 8.0,
     "high_freq_factor": 4.0,
     "low_freq_factor": 1.0,
     "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
     "rope_type": "llama3"
   },
   "router_aux_loss_coef": 0.001,
   "router_jitter_noise": 0.0,
   "tie_word_embeddings": false,
+  "transformers_version": "5.12.0",
   "use_cache": true,
   "use_qk_norm": true,
   "vocab_size": 202048

generation_config.json CHANGED Viewed

@@ -7,5 +7,5 @@
     200008
   ],
   "pad_token_id": 200018,
-  "transformers_version": "4.57.6"
 }

     200008
   ],
   "pad_token_id": 200018,
+  "transformers_version": "5.12.0"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2defd19b1af7461456472bda405a146652059192ab48bccc020ff4ebff18472
-size 26086368

 version https://git-lfs.github.com/spec/v1
+oid sha256:ae0393e56b63c5d4d4a10aa6ffe12a6e348b4eefac322ee77ea7f974affc7138
+size 13046840