Instructions to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1: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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1: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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Use Docker
docker model run hf.co/Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ilya626/Qwen3.5-9B-Heretic-SDFT-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ilya626/Qwen3.5-9B-Heretic-SDFT-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
- Ollama
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with Ollama:
ollama run hf.co/Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
- Unsloth Studio
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 to start chatting
- Pi
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
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 Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with Docker Model Runner:
docker model run hf.co/Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
- Lemonade
How to use Ilya626/Qwen3.5-9B-Heretic-SDFT-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ilya626/Qwen3.5-9B-Heretic-SDFT-v1:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3.5-9B-Heretic-SDFT-v1-Q4_K_M
List all available models
lemonade list
Delete quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol
Browse files- quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/artifact_metadata.json +0 -18
- quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol-Q4_K_M.gguf +0 -3
- quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/source_run_summary.json +0 -53
quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/artifact_metadata.json
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"source_run_summary_path": "/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/run_summary.json",
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"note": "qwen35_9b_fixed_teacher_final_q4km",
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"source_summary_excerpt": {
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"quantization_type": "Q4_K_M",
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"merged_hf_path": "/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/merged_hf",
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"adapter_path": "/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpolicy_r10_seed12_20260321_124141_resume_harmful_prompt_benchmark_short-t_qwen35_9b_student_4b_teacher_strict_think_full_r/adapter_student_final",
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quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol-Q4_K_M.gguf
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quantized_gguf/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol/source_run_summary.json
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"base_model_name": "Qwen/Qwen3.5-9B",
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"max_shard_size": "5GB",
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"convert_command": [
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"/workspace/.venv_llama/bin/python",
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"/workspace/llama.cpp/convert_hf_to_gguf.py",
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"/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/merged_hf",
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"--outfile",
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"/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol-f16.gguf",
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"--outtype",
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"f16"
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],
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"mmproj_command": null,
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"quantize_command": [
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"/workspace/llama.cpp/build/bin/llama-quantize",
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"/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol-f16.gguf",
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"/workspace/Runs/RP_Simple_refactoring/qwen35_fixed_teacher/outputs/merged_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol_merge_q4_k_m_20260321_160716_qwen35_9b_fixed_teacher_final_q4km/harmful_prompt_benchmark_short-test_teacher_MuXodious_Qwen3.5-4B-SOMPOA-heresy-v2_thinking_onpol-Q4_K_M.gguf",
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"Q4_K_M"
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],
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"note": "qwen35_9b_fixed_teacher_final_q4km"
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}
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