Instructions to use GTKING/ZFusionAI_Hacker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use GTKING/ZFusionAI_Hacker with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="GTKING/ZFusionAI_Hacker", filename="gguf/ZFusionAI-f16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use GTKING/ZFusionAI_Hacker with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf GTKING/ZFusionAI_Hacker:F16 # Run inference directly in the terminal: llama-cli -hf GTKING/ZFusionAI_Hacker:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf GTKING/ZFusionAI_Hacker:F16 # Run inference directly in the terminal: llama-cli -hf GTKING/ZFusionAI_Hacker:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf GTKING/ZFusionAI_Hacker:F16 # Run inference directly in the terminal: ./llama-cli -hf GTKING/ZFusionAI_Hacker:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf GTKING/ZFusionAI_Hacker:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf GTKING/ZFusionAI_Hacker:F16
Use Docker
docker model run hf.co/GTKING/ZFusionAI_Hacker:F16
- LM Studio
- Jan
- Ollama
How to use GTKING/ZFusionAI_Hacker with Ollama:
ollama run hf.co/GTKING/ZFusionAI_Hacker:F16
- Unsloth Studio new
How to use GTKING/ZFusionAI_Hacker 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 GTKING/ZFusionAI_Hacker 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 GTKING/ZFusionAI_Hacker to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for GTKING/ZFusionAI_Hacker to start chatting
- Pi new
How to use GTKING/ZFusionAI_Hacker with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf GTKING/ZFusionAI_Hacker:F16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "GTKING/ZFusionAI_Hacker:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use GTKING/ZFusionAI_Hacker with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf GTKING/ZFusionAI_Hacker:F16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default GTKING/ZFusionAI_Hacker:F16
Run Hermes
hermes
- Docker Model Runner
How to use GTKING/ZFusionAI_Hacker with Docker Model Runner:
docker model run hf.co/GTKING/ZFusionAI_Hacker:F16
- Lemonade
How to use GTKING/ZFusionAI_Hacker with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull GTKING/ZFusionAI_Hacker:F16
Run and chat with the model
lemonade run user.ZFusionAI_Hacker-F16
List all available models
lemonade list
Training in progress, step 756
Browse files- adapter_config.json +4 -4
- special_tokens_map.json +2 -1
- tokenizer_config.json +1 -0
- training_args.bin +1 -1
adapter_config.json
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"layers_pattern": null,
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"peft_type": "LORA",
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"layers_pattern": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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special_tokens_map.json
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"normalized": false,
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"normalized": false,
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"pad_token": "<|eot_id|>"
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tokenizer_config.json
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"attention_mask"
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"model_max_length": 131072,
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"tokenizer_class": "PreTrainedTokenizerFast"
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|eot_id|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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training_args.bin
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