Instructions to use Ba2han/model-sft-q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ba2han/model-sft-q with Transformers:

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

pipe = pipeline("text-generation", model="Ba2han/model-sft-q")
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("Ba2han/model-sft-q")
model = AutoModelForCausalLM.from_pretrained("Ba2han/model-sft-q", 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 Ba2han/model-sft-q with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ba2han/model-sft-q"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ba2han/model-sft-q",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Ba2han/model-sft-q

SGLang

How to use Ba2han/model-sft-q 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 "Ba2han/model-sft-q" \
    --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": "Ba2han/model-sft-q",
		"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 "Ba2han/model-sft-q" \
        --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": "Ba2han/model-sft-q",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use Ba2han/model-sft-q with Docker Model Runner:
```
docker model run hf.co/Ba2han/model-sft-q
```

Ba2han commited on Mar 16

Commit

d065df2

verified ·

1 Parent(s): d56b482

Training in progress, step 2316, checkpoint

Browse files

Files changed (5) hide show

last-checkpoint/model.safetensors +1 -1
last-checkpoint/optimizer.pt +1 -1
last-checkpoint/rng_state.pth +2 -2
last-checkpoint/scheduler.pt +1 -1
last-checkpoint/trainer_state.json +0 -0

last-checkpoint/model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:316ede68bc741be7adb41f9a71b648a8a23d69ea100331619ccbdfa978993fd6
 size 1310260536

 version https://git-lfs.github.com/spec/v1
+oid sha256:abdcd08d2ca2b2f45c0ba87ca62d98100a6d4670c03d8fb5b4452b6b0e1c0114
 size 1310260536

last-checkpoint/optimizer.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd9ae22204292434a41a7d52f32067a15012d253018757a702effb59e33b7166
 size 1675860429

 version https://git-lfs.github.com/spec/v1
+oid sha256:8736462587d967dd8a1dbd171effaadb3d925ee9386e105e4f5e52fb15323d9a
 size 1675860429

last-checkpoint/rng_state.pth CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f563ed7fad285af4fe120a711204d4f602c1a84bb5b4f750192d751b895b8745
-size 14709

 version https://git-lfs.github.com/spec/v1
+oid sha256:1b818845b9a1afbe7f713a02c832fb3ad2c8d42927c4298dec9531ad2a520a01
+size 14645

last-checkpoint/scheduler.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72a66414d09c43baaf0d2ab9d3dea8973b2e61261e9a9255b3b36915a683c671
 size 1465

 version https://git-lfs.github.com/spec/v1
+oid sha256:b3260a89c73292612e4a44087f7b423f5d8f75ce22a969f412c8b98624eb9011
 size 1465

last-checkpoint/trainer_state.json CHANGED Viewed

The diff for this file is too large to render. See raw diff