Text Generation
Transformers
Safetensors
English
llama
text-generation-inference
unsloth
trl
sft
conversational
Instructions to use GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS") model = AutoModelForCausalLM.from_pretrained("GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS") 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 GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS
- SGLang
How to use GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS 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 "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS" \ --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": "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS", "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 "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS" \ --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": "GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS", max_seq_length=2048, ) - Docker Model Runner
How to use GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS with Docker Model Runner:
docker model run hf.co/GigoFof/DeepSeek-R1-CyberSecurity-CHMP-AS
(Trained with Unsloth)
Browse files- config.json +0 -12
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +0 -0
config.json
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"llm_int8_enable_fp32_cpu_offload": false,
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"rms_norm_eps": 1e-05,
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"factor": 8.0,
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"num_key_value_heads": 8,
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"pad_token_id": 128004,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"factor": 8.0,
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