Text Generation
Transformers
TensorBoard
Safetensors
gemma3_text
Generated from Trainer
sft
trl
conversational
text-generation-inference
Instructions to use Astrodevil/MyGemmaNPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Astrodevil/MyGemmaNPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Astrodevil/MyGemmaNPC") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Astrodevil/MyGemmaNPC") model = AutoModelForCausalLM.from_pretrained("Astrodevil/MyGemmaNPC") 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Astrodevil/MyGemmaNPC with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Astrodevil/MyGemmaNPC" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Astrodevil/MyGemmaNPC", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Astrodevil/MyGemmaNPC
- SGLang
How to use Astrodevil/MyGemmaNPC 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 "Astrodevil/MyGemmaNPC" \ --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": "Astrodevil/MyGemmaNPC", "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 "Astrodevil/MyGemmaNPC" \ --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": "Astrodevil/MyGemmaNPC", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Astrodevil/MyGemmaNPC with Docker Model Runner:
docker model run hf.co/Astrodevil/MyGemmaNPC
Model save
Browse files
README.md
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### Framework versions
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- TRL: 0.21.0
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- Transformers: 4.55.
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- Pytorch: 2.
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- Datasets: 4.0.0
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- Tokenizers: 0.21.4
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### Framework versions
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- TRL: 0.21.0
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- Transformers: 4.55.2
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- Pytorch: 2.8.0
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- Datasets: 4.0.0
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- Tokenizers: 0.21.4
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config.json
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"rope_theta": 1000000.0,
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"sliding_window": 512,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.55.
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"use_bidirectional_attention": false,
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"use_cache": true,
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"vocab_size": 262144
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"rope_theta": 1000000.0,
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"sliding_window": 512,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.55.2",
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"use_bidirectional_attention": false,
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"use_cache": true,
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"vocab_size": 262144
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generation_config.json
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],
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "4.55.
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}
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],
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "4.55.2"
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}
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model.safetensors
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runs/Aug17_01-04-01_Amiteshs-Mac-mini.local/events.out.tfevents.1755372862.Amiteshs-Mac-mini.local.5997.0
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training_args.bin
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