Instructions to use Aliguinga01/rule_violation2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Aliguinga01/rule_violation2 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama cli -hf Aliguinga01/rule_violation2:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama cli -hf Aliguinga01/rule_violation2: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 Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./llama-cli -hf Aliguinga01/rule_violation2: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 Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Aliguinga01/rule_violation2:F16
Use Docker
docker model run hf.co/Aliguinga01/rule_violation2:F16
- LM Studio
- Jan
- Ollama
How to use Aliguinga01/rule_violation2 with Ollama:
ollama run hf.co/Aliguinga01/rule_violation2:F16
- Unsloth Studio
How to use Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Aliguinga01/rule_violation2 to start chatting
- Docker Model Runner
How to use Aliguinga01/rule_violation2 with Docker Model Runner:
docker model run hf.co/Aliguinga01/rule_violation2:F16
- Lemonade
How to use Aliguinga01/rule_violation2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Aliguinga01/rule_violation2:F16
Run and chat with the model
lemonade run user.rule_violation2-F16
List all available models
lemonade list
- Atomic Chat
| enum common_regex_match_type { | |
| COMMON_REGEX_MATCH_TYPE_NONE, | |
| COMMON_REGEX_MATCH_TYPE_PARTIAL, | |
| COMMON_REGEX_MATCH_TYPE_FULL, | |
| }; | |
| struct common_string_range { | |
| size_t begin; | |
| size_t end; | |
| common_string_range(size_t begin, size_t end) : begin(begin), end(end) { | |
| if (begin > end) { | |
| throw std::runtime_error("Invalid range"); | |
| } | |
| } | |
| // prevent default ctor | |
| common_string_range() = delete; | |
| bool empty() const { | |
| return begin == end; | |
| } | |
| bool operator==(const common_string_range & other) const { | |
| return begin == other.begin && end == other.end; | |
| } | |
| }; | |
| struct common_regex_match { | |
| common_regex_match_type type = COMMON_REGEX_MATCH_TYPE_NONE; | |
| std::vector<common_string_range> groups; | |
| bool operator==(const common_regex_match & other) const { | |
| return type == other.type && groups == other.groups; | |
| } | |
| bool operator!=(const common_regex_match & other) const { | |
| return !(*this == other); | |
| } | |
| }; | |
| class common_regex { | |
| std::string pattern; | |
| std::regex rx; | |
| std::regex rx_reversed_partial; | |
| public: | |
| explicit common_regex(const std::string & pattern); | |
| common_regex_match search(const std::string & input, size_t pos, bool as_match = false) const; | |
| const std::string & str() const { return pattern; } | |
| }; | |
| // For testing only (pretty print of failures). | |
| std::string regex_to_reversed_partial_regex(const std::string & pattern); | |