Instructions to use learn2pro/buddygpt-0.1b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use learn2pro/buddygpt-0.1b-chat with Transformers:

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

pipe = pipeline("text-generation", model="learn2pro/buddygpt-0.1b-chat")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("learn2pro/buddygpt-0.1b-chat", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use learn2pro/buddygpt-0.1b-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "learn2pro/buddygpt-0.1b-chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "learn2pro/buddygpt-0.1b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/learn2pro/buddygpt-0.1b-chat

SGLang

How to use learn2pro/buddygpt-0.1b-chat 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 "learn2pro/buddygpt-0.1b-chat" \
    --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": "learn2pro/buddygpt-0.1b-chat",
		"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 "learn2pro/buddygpt-0.1b-chat" \
        --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": "learn2pro/buddygpt-0.1b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use learn2pro/buddygpt-0.1b-chat with Docker Model Runner:
```
docker model run hf.co/learn2pro/buddygpt-0.1b-chat
```

learn2pro commited on Jun 30, 2025

Commit

86d78a3

verified ·

1 Parent(s): fef381e

Upload folder using huggingface_hub

Browse files

Files changed (3) hide show

README.md +3 -3
model.safetensors +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-model_name: buddygpt-0.1b-chat
 tags:
 - generated_from_trainer
 - trl
@@ -8,7 +8,7 @@ tags:
 licence: license
 ---
-# Model Card for buddygpt-0.1b-chat
 This model is a fine-tuned version of [None](https://huggingface.co/None).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -26,7 +26,7 @@ print(output["generated_text"])
 ## Training procedure
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://app.bandw.top/druidlangde-tencent/huggingface/runs/x3edfdl0)
 This model was trained with SFT.

 ---
 library_name: transformers
+model_name: buddygpt-0.1b-chat-maxode
 tags:
 - generated_from_trainer
 - trl
 licence: license
 ---
+# Model Card for buddygpt-0.1b-chat-maxode
 This model is a fine-tuned version of [None](https://huggingface.co/None).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 ## Training procedure
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/druidlangde-tencent/huggingface/runs/zlag37e9)
 This model was trained with SFT.

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9921d47f470dad9636887b6839b302d7dc27052f8f94bea4b07e360c9459eeb4
 size 635908536

 version https://git-lfs.github.com/spec/v1
+oid sha256:fa332299e3e02cfb2907823460b597788b812238234d7bddbb2150408e970058
 size 635908536

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2355b42b93fae5b9f25ac9cf8a1b4ac618c4044609785d2bf34037de6aef1cc
 size 5688

 version https://git-lfs.github.com/spec/v1
+oid sha256:466f0437d44f256d1dc05e7947ef0480fc85a028ac1d19fb38f5844994ac6f4b
 size 5688