Instructions to use legraphista/AutoCoder-IMat-GGUF 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 legraphista/AutoCoder-IMat-GGUF 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 legraphista/AutoCoder-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf legraphista/AutoCoder-IMat-GGUF:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf legraphista/AutoCoder-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf legraphista/AutoCoder-IMat-GGUF:Q4_K_S
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 legraphista/AutoCoder-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf legraphista/AutoCoder-IMat-GGUF:Q4_K_S
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 legraphista/AutoCoder-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf legraphista/AutoCoder-IMat-GGUF:Q4_K_S
Use Docker
docker model run hf.co/legraphista/AutoCoder-IMat-GGUF:Q4_K_S
- LM Studio
- Jan
- vLLM
How to use legraphista/AutoCoder-IMat-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "legraphista/AutoCoder-IMat-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "legraphista/AutoCoder-IMat-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/legraphista/AutoCoder-IMat-GGUF:Q4_K_S
- Ollama
How to use legraphista/AutoCoder-IMat-GGUF with Ollama:
ollama run hf.co/legraphista/AutoCoder-IMat-GGUF:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use legraphista/AutoCoder-IMat-GGUF with Docker Model Runner:
docker model run hf.co/legraphista/AutoCoder-IMat-GGUF:Q4_K_S
- Lemonade
How to use legraphista/AutoCoder-IMat-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull legraphista/AutoCoder-IMat-GGUF:Q4_K_S
Run and chat with the model
lemonade run user.AutoCoder-IMat-GGUF-Q4_K_S
List all available models
lemonade list
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -61,7 +61,7 @@ Link: [here](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/blob/main/im
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| [AutoCoder.BF16/*](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/tree/main/AutoCoder.BF16) | BF16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes
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| [AutoCoder.FP16/*](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/tree/main/AutoCoder.FP16) | F16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes
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| [AutoCoder.Q5_K.gguf](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/blob/main/AutoCoder.Q5_K.gguf) | Q5_K | 23.54GB | ✅ Available | ⚪ Static | 📦 No
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| AutoCoder.Q5_K_S | Q5_K_S |
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| AutoCoder.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 IMatrix | -
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| AutoCoder.Q3_K_L | Q3_K_L | - | ⏳ Processing | 🟢 IMatrix | -
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| AutoCoder.Q3_K_S | Q3_K_S | - | ⏳ Processing | 🟢 IMatrix | -
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| [AutoCoder.BF16/*](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/tree/main/AutoCoder.BF16) | BF16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes
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| 62 |
| [AutoCoder.FP16/*](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/tree/main/AutoCoder.FP16) | F16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes
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| [AutoCoder.Q5_K.gguf](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/blob/main/AutoCoder.Q5_K.gguf) | Q5_K | 23.54GB | ✅ Available | ⚪ Static | 📦 No
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| [AutoCoder.Q5_K_S.gguf](https://huggingface.co/legraphista/AutoCoder-IMat-GGUF/blob/main/AutoCoder.Q5_K_S.gguf) | Q5_K_S | 22.96GB | ✅ Available | ⚪ Static | 📦 No
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| AutoCoder.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 IMatrix | -
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| 66 |
| AutoCoder.Q3_K_L | Q3_K_L | - | ⏳ Processing | 🟢 IMatrix | -
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| AutoCoder.Q3_K_S | Q3_K_S | - | ⏳ Processing | 🟢 IMatrix | -
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