Instructions to use tharun2909/disligpt_FT_adapter_new1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tharun2909/disligpt_FT_adapter_new1 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("distilbert/distilgpt2")
model = PeftModel.from_pretrained(base_model, "tharun2909/disligpt_FT_adapter_new1")

Transformers

How to use tharun2909/disligpt_FT_adapter_new1 with Transformers:

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

pipe = pipeline("text-generation", model="tharun2909/disligpt_FT_adapter_new1")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tharun2909/disligpt_FT_adapter_new1", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use tharun2909/disligpt_FT_adapter_new1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tharun2909/disligpt_FT_adapter_new1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tharun2909/disligpt_FT_adapter_new1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/tharun2909/disligpt_FT_adapter_new1

SGLang

How to use tharun2909/disligpt_FT_adapter_new1 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 "tharun2909/disligpt_FT_adapter_new1" \
    --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": "tharun2909/disligpt_FT_adapter_new1",
		"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 "tharun2909/disligpt_FT_adapter_new1" \
        --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": "tharun2909/disligpt_FT_adapter_new1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use tharun2909/disligpt_FT_adapter_new1 with Docker Model Runner:
```
docker model run hf.co/tharun2909/disligpt_FT_adapter_new1
```

tharun2909 commited on Jan 12

Commit

50cc19c

verified ·

1 Parent(s): f581a09

second commit

Browse files

Files changed (1) hide show

adapter_config.json +3 -3

adapter_config.json CHANGED Viewed

@@ -23,14 +23,14 @@
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
-  "peft_version": "0.18.0",
   "qalora_group_size": 16,
   "r": 4,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "c_proj",
-    "c_attn"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
+  "peft_version": "0.18.1",
   "qalora_group_size": 16,
   "r": 4,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "c_attn",
+    "c_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",