Instructions to use rudranshjoshi/circuit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use rudranshjoshi/circuit with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="rudranshjoshi/circuit", filename="circuit.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 rudranshjoshi/circuit with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf rudranshjoshi/circuit:Q4_K_M # Run inference directly in the terminal: llama-cli -hf rudranshjoshi/circuit:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf rudranshjoshi/circuit:Q4_K_M # Run inference directly in the terminal: llama-cli -hf rudranshjoshi/circuit:Q4_K_M
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 rudranshjoshi/circuit:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf rudranshjoshi/circuit:Q4_K_M
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 rudranshjoshi/circuit:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf rudranshjoshi/circuit:Q4_K_M
Use Docker
docker model run hf.co/rudranshjoshi/circuit:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use rudranshjoshi/circuit with Ollama:
ollama run hf.co/rudranshjoshi/circuit:Q4_K_M
- Unsloth Studio new
How to use rudranshjoshi/circuit 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 rudranshjoshi/circuit 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 rudranshjoshi/circuit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rudranshjoshi/circuit to start chatting
- Docker Model Runner
How to use rudranshjoshi/circuit with Docker Model Runner:
docker model run hf.co/rudranshjoshi/circuit:Q4_K_M
- Lemonade
How to use rudranshjoshi/circuit with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rudranshjoshi/circuit:Q4_K_M
Run and chat with the model
lemonade run user.circuit-Q4_K_M
List all available models
lemonade list
| { | |
| "_name_or_path": "Phi-3-mini-4k-instruct", | |
| "architectures": [ | |
| "Phi3ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_phi3.Phi3Config", | |
| "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM" | |
| }, | |
| "bos_token_id": 1, | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": 32000, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "max_position_embeddings": 4096, | |
| "model_type": "phi3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "original_max_position_embeddings": 4096, | |
| "pad_token_id": 32000, | |
| "resid_pdrop": 0.0, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 2047, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.40.2", | |
| "use_cache": true, | |
| "attention_bias": false, | |
| "vocab_size": 32064 | |
| } | |