Instructions to use MRBSTUDIO/Test-Repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRBSTUDIO/Test-Repo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "MRBSTUDIO/Test-Repo") - Transformers
How to use MRBSTUDIO/Test-Repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MRBSTUDIO/Test-Repo") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MRBSTUDIO/Test-Repo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MRBSTUDIO/Test-Repo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MRBSTUDIO/Test-Repo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MRBSTUDIO/Test-Repo", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/MRBSTUDIO/Test-Repo
- SGLang
How to use MRBSTUDIO/Test-Repo 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 "MRBSTUDIO/Test-Repo" \ --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": "MRBSTUDIO/Test-Repo", "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 "MRBSTUDIO/Test-Repo" \ --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": "MRBSTUDIO/Test-Repo", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use MRBSTUDIO/Test-Repo with Docker Model Runner:
docker model run hf.co/MRBSTUDIO/Test-Repo
sft-6700-step
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +1338 -6
adapter_model.safetensors
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size 698419728
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optimizer.pt
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size 1397136587
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rng_state.pth
CHANGED
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size 14645
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scheduler.pt
CHANGED
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oid sha256:08804d0a21d8df191a267fdfad60532380afcf3b04182506e89486e7b012afc5
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size 1465
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trainer_state.json
CHANGED
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{
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-
"best_global_step":
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"best_metric": 1.
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"best_model_checkpoint": "/workspace/project_2026_1/checkpoints/sft/checkpoint-
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"epoch": 1.
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"eval_steps": 100,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 26.036,
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"eval_steps_per_second": 3.258,
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"step": 5500
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| 6116 |
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| 6117 |
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| 6118 |
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|
@@ -6132,7 +7464,7 @@
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| 6132 |
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