Instructions to use finalgp3/Our_model_GandA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use finalgp3/Our_model_GandA with Transformers:

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

pipe = pipeline("text-generation", model="finalgp3/Our_model_GandA")

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

tokenizer = AutoTokenizer.from_pretrained("finalgp3/Our_model_GandA")
model = AutoModelForCausalLM.from_pretrained("finalgp3/Our_model_GandA", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use finalgp3/Our_model_GandA with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "finalgp3/Our_model_GandA"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "finalgp3/Our_model_GandA",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/finalgp3/Our_model_GandA

SGLang

How to use finalgp3/Our_model_GandA 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 "finalgp3/Our_model_GandA" \
    --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": "finalgp3/Our_model_GandA",
		"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 "finalgp3/Our_model_GandA" \
        --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": "finalgp3/Our_model_GandA",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use finalgp3/Our_model_GandA with Docker Model Runner:
```
docker model run hf.co/finalgp3/Our_model_GandA
```

finalgp3 commited on May 12, 2024

Commit

d101ffa

verified ·

1 Parent(s): ed1c82a

Update config.json

Browse files

Files changed (1) hide show

config.json +6 -6

config.json CHANGED Viewed

@@ -29,12 +29,12 @@
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "early_stopping":true,
-      "max_new_tokens":1000,
-      "temperature":0.4,
-      "num_return_sequences":1,
-      "no_repeat_ngram_size":4,
-      "top_p":0.80,
     }
   },
   "torch_dtype": "float32",

   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
+      "early_stopping": true,
+      "max_new_tokens": 1000,
+      "temperature": 0.4,
+      "num_return_sequences": 1,
+      "no_repeat_ngram_size": 4,
+      "top_p": 0.80
     }
   },
   "torch_dtype": "float32",