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dcostenco
/
prism-coder-1.7b

MLX
Safetensors
GGUF
English
tool-calling
routing
aac
conversational
Model card Files Files and versions
xet
Community

Instructions to use dcostenco/prism-coder-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use dcostenco/prism-coder-1.7b with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir prism-coder-1.7b dcostenco/prism-coder-1.7b
  • llama-cpp-python

    How to use dcostenco/prism-coder-1.7b with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="dcostenco/prism-coder-1.7b",
    	filename="gguf/prism-coder-1.7b-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 dcostenco/prism-coder-1.7b with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf dcostenco/prism-coder-1.7b:F16
    # Run inference directly in the terminal:
    llama-cli -hf dcostenco/prism-coder-1.7b:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf dcostenco/prism-coder-1.7b:F16
    # Run inference directly in the terminal:
    llama-cli -hf dcostenco/prism-coder-1.7b: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 dcostenco/prism-coder-1.7b:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf dcostenco/prism-coder-1.7b: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 dcostenco/prism-coder-1.7b:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf dcostenco/prism-coder-1.7b:F16
    Use Docker
    docker model run hf.co/dcostenco/prism-coder-1.7b:F16
  • LM Studio
  • Jan
  • Ollama

    How to use dcostenco/prism-coder-1.7b with Ollama:

    ollama run hf.co/dcostenco/prism-coder-1.7b:F16
  • Unsloth Studio new

    How to use dcostenco/prism-coder-1.7b 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 dcostenco/prism-coder-1.7b 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 dcostenco/prism-coder-1.7b to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for dcostenco/prism-coder-1.7b to start chatting
  • Pi new

    How to use dcostenco/prism-coder-1.7b with Pi:

    Start the MLX server
    # Install MLX LM:
    uv tool install mlx-lm
    # Start a local OpenAI-compatible server:
    mlx_lm.server --model "dcostenco/prism-coder-1.7b"
    Configure the model in Pi
    # Install Pi:
    npm install -g @mariozechner/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "mlx-lm": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "dcostenco/prism-coder-1.7b"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Hermes Agent new

    How to use dcostenco/prism-coder-1.7b with Hermes Agent:

    Start the MLX server
    # Install MLX LM:
    uv tool install mlx-lm
    # Start a local OpenAI-compatible server:
    mlx_lm.server --model "dcostenco/prism-coder-1.7b"
    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 dcostenco/prism-coder-1.7b
    Run Hermes
    hermes
  • Docker Model Runner

    How to use dcostenco/prism-coder-1.7b with Docker Model Runner:

    docker model run hf.co/dcostenco/prism-coder-1.7b:F16
  • Lemonade

    How to use dcostenco/prism-coder-1.7b with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull dcostenco/prism-coder-1.7b:F16
    Run and chat with the model
    lemonade run user.prism-coder-1.7b-F16
    List all available models
    lemonade list
prism-coder-1.7b
10.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
dcostenco's picture
dcostenco
Update model card with training details, cascade position, and file table
a586bd2 verified about 2 hours ago
  • gguf
    Upload gguf/prism-coder-1.7b-q4_k_m.gguf with huggingface_hub 6 days ago
  • merged-qwen3-1.7b
    Add merged model (adapter+base fused, ready for GGUF) 6 days ago
  • qwen3-1.7b-v1
    Add adapter qwen3-1.7b-v1: Qwen/Qwen3-1.7B r=64 0h 6 days ago
  • .gitattributes
    1.92 kB
    Add 1b7-v36 Q4_K_M GGUF โ€” 100% BFCL routing accuracy about 2 hours ago
  • README.md
    1.74 kB
    Update model card with training details, cascade position, and file table about 2 hours ago
  • prism-aac-1b7-q4km.gguf
    1.11 GB
    xet
    v36: 100% BFCL routing accuracy (was 94%), greedy decoding aligned about 5 hours ago
  • prism-coder-1b7-v36-q4km.gguf
    1.11 GB
    xet
    Add 1b7-v36 Q4_K_M GGUF โ€” 100% BFCL routing accuracy about 2 hours ago