Instructions to use FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python with Transformers:

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

pipe = pipeline("text-generation", model="FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python")
model = AutoModelForCausalLM.from_pretrained("FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python

SGLang

How to use FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python 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 "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python with Docker Model Runner:
```
docker model run hf.co/FYPFAST/Llama-3.2-3B-Instruct-PEP8-Vulnerability-Python
```

omaisafzal commited on Dec 8, 2024

Commit

18ccdfd

verified ·

1 Parent(s): dd139b3

Training in progress, step 60

Browse files

Files changed (4) hide show

adapter_config.json +4 -4
adapter_model.safetensors +1 -1
runs/Dec08_05-43-32_6157046820a6/events.out.tfevents.1733636618.6157046820a6.486.0 +3 -0
training_args.bin +1 -1

adapter_config.json CHANGED Viewed

@@ -23,13 +23,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "up_proj",
-    "o_proj",
     "q_proj",
-    "down_proj",
     "v_proj",
-    "k_proj",
-    "gate_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "k_proj",
     "up_proj",
     "q_proj",
     "v_proj",
+    "o_proj",
+    "gate_proj",
+    "down_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62d9a1310d10022208a2e48c0cc16dfb2b6ced2d7513a6eeee93fa702e45176e
 size 1965084424

 version https://git-lfs.github.com/spec/v1
+oid sha256:e885f56485e513544c0b7cdcea12f4de577ddf394310423a725b1ec2bc3bf26c
 size 1965084424

runs/Dec08_05-43-32_6157046820a6/events.out.tfevents.1733636618.6157046820a6.486.0 ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:68962c433bc32e6e861876f1e70657d0520166efb8bd00fcecfad656617d9cfa
+size 18882

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42a7b9f3748aa7b60418f8850628218603b16ec16b258ab1c1caf0a670fb48a4
 size 5624

 version https://git-lfs.github.com/spec/v1
+oid sha256:757d410fd1570039dd54fcc0baab82caf553ae809cfe15d5a1e32c544665ad21
 size 5624