Instructions to use ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps with Transformers:

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

pipe = pipeline("text-generation", model="ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps")
model = AutoModelForCausalLM.from_pretrained("ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps

SGLang

How to use ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps 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 "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps" \
    --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": "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps",
		"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 "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps" \
        --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": "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps with Docker Model Runner:
```
docker model run hf.co/ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps
```

pszemraj commited on Nov 27, 2022

Commit

7d8f730

1 Parent(s): 1e17e30

add sharded model

Browse files

Files changed (6) hide show

config.json +2 -2
pytorch_model.bin → pytorch_model-00001-of-00004.bin +2 -2
pytorch_model-00002-of-00004.bin +3 -0
pytorch_model-00003-of-00004.bin +3 -0
pytorch_model-00004-of-00004.bin +3 -0
pytorch_model.bin.index.json +3 -0

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "EleutherAI/gpt-j-6B",
   "activation_function": "gelu_new",
   "architectures": [
     "GPTJForCausalLM"
@@ -39,7 +39,7 @@
   "tie_word_embeddings": false,
   "tokenizer_class": "GPT2Tokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.15.0",
   "use_cache": true,
   "vocab_size": 50400
 }

 {
+  "_name_or_path": "ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps",
   "activation_function": "gelu_new",
   "architectures": [
     "GPTJForCausalLM"
   "tie_word_embeddings": false,
   "tokenizer_class": "GPT2Tokenizer",
   "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
   "use_cache": true,
   "vocab_size": 50400
 }

pytorch_model.bin → pytorch_model-00001-of-00004.bin RENAMED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9ea50e6bbf617089eaa79d99c7f4224f01a627d68af4ae96faad49b88cd210f
-size 6212161484

 version https://git-lfs.github.com/spec/v1
+oid sha256:ec031cf083fb0d0fe954087834cbc6fa2db5af0a444a9692a17c68d99cfdce59
+size 1935755141

pytorch_model-00002-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:80ecdaf7d110c1ea743cb9acefce2b69bd2c221415d49134dfd15c025892d246
+size 1998326687

pytorch_model-00003-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f8b0d5b66533a8d18bd055e54c4ddd35635941afa15c12395840dab783d17b69
+size 1935237323

pytorch_model-00004-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b160162aa155ce043628c0df616b464d43dce79a0ef9fd9977ed1dcedba76017
+size 342775340

pytorch_model.bin.index.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e199a7a6fbf4ce58a1a7ad18dfaddc8e3949cbd5d3c902c3c48743a54664e6fd
+size 82123