Instructions to use quintic/codegen-diff-6B-gptj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use quintic/codegen-diff-6B-gptj with Transformers:

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

pipe = pipeline("text-generation", model="quintic/codegen-diff-6B-gptj")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("quintic/codegen-diff-6B-gptj")
model = AutoModelForCausalLM.from_pretrained("quintic/codegen-diff-6B-gptj")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use quintic/codegen-diff-6B-gptj with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "quintic/codegen-diff-6B-gptj"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "quintic/codegen-diff-6B-gptj",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/quintic/codegen-diff-6B-gptj

SGLang

How to use quintic/codegen-diff-6B-gptj 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 "quintic/codegen-diff-6B-gptj" \
    --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": "quintic/codegen-diff-6B-gptj",
		"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 "quintic/codegen-diff-6B-gptj" \
        --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": "quintic/codegen-diff-6B-gptj",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use quintic/codegen-diff-6B-gptj with Docker Model Runner:
```
docker model run hf.co/quintic/codegen-diff-6B-gptj
```

quintic commited on Feb 6, 2023

Commit

37266f9

1 Parent(s): 5367b63

fix

Browse files

Files changed (1) hide show

config.json +3 -3

config.json CHANGED Viewed

@@ -10,13 +10,13 @@
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gptj",
-  "n_embd": 1024,
   "n_head": 16,
   "n_inner": null,
-  "n_layer": 20,
   "n_positions": 2048,
   "resid_pdrop": 0.0,
-  "rotary_dim": 32,
   "scale_attn_weights": true,
   "tie_word_embeddings": false,
   "tokenizer_class": "CodeGenTokenizer",

   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gptj",
+  "n_embd": 4096,
   "n_head": 16,
   "n_inner": null,
+  "n_layer": 33,
   "n_positions": 2048,
   "resid_pdrop": 0.0,
+  "rotary_dim": 64,
   "scale_attn_weights": true,
   "tie_word_embeddings": false,
   "tokenizer_class": "CodeGenTokenizer",