Instructions to use Epode/Prelude-1B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Epode/Prelude-1B-Base with Transformers:

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

pipe = pipeline("text-generation", model="Epode/Prelude-1B-Base")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Epode/Prelude-1B-Base")
model = AutoModelForCausalLM.from_pretrained("Epode/Prelude-1B-Base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Epode/Prelude-1B-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Epode/Prelude-1B-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Epode/Prelude-1B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Epode/Prelude-1B-Base

SGLang

How to use Epode/Prelude-1B-Base 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 "Epode/Prelude-1B-Base" \
    --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": "Epode/Prelude-1B-Base",
		"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 "Epode/Prelude-1B-Base" \
        --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": "Epode/Prelude-1B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Epode/Prelude-1B-Base with Docker Model Runner:
```
docker model run hf.co/Epode/Prelude-1B-Base
```

Li commited on Sep 12

Commit

7fc9ab0

verified ·

1 Parent(s): d4737e1

Correct indexed tensor byte metadata

Browse files

Files changed (2) hide show

model.safetensors.index.json +1 -1
release-manifest.json +2 -1

model.safetensors.index.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "metadata": {
     "total_parameters": 1100048384,
-    "total_size": 5322940416
   },
   "weight_map": {
     "lm_head.weight": "model-00003-of-00003.safetensors",

 {
   "metadata": {
     "total_parameters": 1100048384,
+    "total_size": 4400193536
   },
   "weight_map": {
     "lm_head.weight": "model-00003-of-00003.safetensors",

release-manifest.json CHANGED Viewed

@@ -23,7 +23,7 @@
     },
     "model.safetensors.index.json": {
       "bytes": 16555,
-      "sha256": "1e507db339b03802749f45056ea9f3a6f1336c844943c7b679841aa7d5be3376"
     },
     "model_config.yaml": {
       "bytes": 1162,
@@ -54,6 +54,7 @@
   "stored_dtype": [
     "torch.float32"
   ],
   "tensor_count": 201,
   "tensor_exact_equality_verified": true
 }

     },
     "model.safetensors.index.json": {
       "bytes": 16555,
+      "sha256": "382f6cc555a9876edbb7d13281774aca548c51528d79da21a0e631a88f6157c6"
     },
     "model_config.yaml": {
       "bytes": 1162,
   "stored_dtype": [
     "torch.float32"
   ],
+  "tensor_bytes": 4400193536,
   "tensor_count": 201,
   "tensor_exact_equality_verified": true
 }