Instructions to use patricksaxton/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use patricksaxton/peft-starcoder-lora-a100 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b")
model = PeftModel.from_pretrained(base_model, "patricksaxton/peft-starcoder-lora-a100")

Transformers

How to use patricksaxton/peft-starcoder-lora-a100 with Transformers:

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

pipe = pipeline("text-generation", model="patricksaxton/peft-starcoder-lora-a100")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("patricksaxton/peft-starcoder-lora-a100", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use patricksaxton/peft-starcoder-lora-a100 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "patricksaxton/peft-starcoder-lora-a100"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "patricksaxton/peft-starcoder-lora-a100",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/patricksaxton/peft-starcoder-lora-a100

SGLang

How to use patricksaxton/peft-starcoder-lora-a100 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 "patricksaxton/peft-starcoder-lora-a100" \
    --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": "patricksaxton/peft-starcoder-lora-a100",
		"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 "patricksaxton/peft-starcoder-lora-a100" \
        --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": "patricksaxton/peft-starcoder-lora-a100",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use patricksaxton/peft-starcoder-lora-a100 with Docker Model Runner:
```
docker model run hf.co/patricksaxton/peft-starcoder-lora-a100
```

patricksaxton commited on Jan 6

Commit

ddcd3cb

verified ·

1 Parent(s): 32e9fc3

Training in progress, step 500

Browse files

Files changed (2) hide show

adapter_model.safetensors +1 -1
runs/Jan06_19-15-31_d91d5efb4346/events.out.tfevents.1767726939.d91d5efb4346.10124.0 +2 -2

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7cf5ccab0759f31e0e1d652593c07ea67e6418d8fcc9936a6b237e7959214a6c
 size 22241240

 version https://git-lfs.github.com/spec/v1
+oid sha256:c562bdf27971328dcf1ebdf6c00e039f0a21ceba62e7d17d14849b8733239985
 size 22241240

runs/Jan06_19-15-31_d91d5efb4346/events.out.tfevents.1767726939.d91d5efb4346.10124.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7189be5bc78ead0c353a187ee32bb992baf2ea365939600dd07b56b946708bd6
-size 10348

 version https://git-lfs.github.com/spec/v1
+oid sha256:cc57333a795d7fa77b05910843100ca3183b921633cec6e0d4f42c730a182d4d
+size 11463