How to use from
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 vnyaryan/playwright1model_q4_k_m:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vnyaryan/playwright1model_q4_k_m:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf vnyaryan/playwright1model_q4_k_m:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vnyaryan/playwright1model_q4_k_m: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 vnyaryan/playwright1model_q4_k_m:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf vnyaryan/playwright1model_q4_k_m: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 vnyaryan/playwright1model_q4_k_m:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf vnyaryan/playwright1model_q4_k_m:Q4_K_M
Use Docker
docker model run hf.co/vnyaryan/playwright1model_q4_k_m:Q4_K_M
Quick Links

Uploaded model

  • Developed by: vnyaryan
  • License: apache-2.0
  • Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

🧠 Playwright Command Bot (Fine-Tuned with Unsloth + LoRA)

This model was fine-tuned by @vnyaryan using Unsloth on a ShareGPT-style dataset with command references for browser automation.

πŸš€ Capabilities

  • Understands and returns commands like goto_url, click, input_detail
  • Instruction-following tuned on mcp_commands_sharegpt.jsonl
  • Exported in GGUF format for Llama.cpp-based inference

🧩 Example Prompt

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GGUF
Model size
3B params
Architecture
llama
Hardware compatibility
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4-bit

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