Instructions to use diffusionfamily/diffullama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use diffusionfamily/diffullama with Transformers:

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

pipe = pipeline("text-generation", model="diffusionfamily/diffullama")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("diffusionfamily/diffullama")
model = AutoModelForCausalLM.from_pretrained("diffusionfamily/diffullama")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use diffusionfamily/diffullama with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/diffusionfamily/diffullama

SGLang

How to use diffusionfamily/diffullama 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 "diffusionfamily/diffullama" \
    --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": "diffusionfamily/diffullama",
		"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 "diffusionfamily/diffullama" \
        --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": "diffusionfamily/diffullama",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use diffusionfamily/diffullama with Docker Model Runner:
```
docker model run hf.co/diffusionfamily/diffullama
```

Sansa commited on Oct 21, 2024

Commit

44d46d5

verified ·

1 Parent(s): e710b86

update config

Browse files

update max-length

Files changed (1) hide show

config.json +6 -0

config.json CHANGED Viewed

@@ -23,6 +23,12 @@
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.44.2",
   "use_cache": true,
   "vocab_size": 32000

   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 2048
+    }
+  },
   "transformers_version": "4.44.2",
   "use_cache": true,
   "vocab_size": 32000