Instructions to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX", filename="Jackrong-Qwopus3.6-35B-A3B-Coder-Q3_0_ROCMFPX.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX 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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP # Run inference directly in the terminal: llama cli -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP # Run inference directly in the terminal: llama cli -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP # Run inference directly in the terminal: ./llama-cli -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP # Run inference directly in the terminal: ./build/bin/llama-cli -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
Use Docker
docker model run hf.co/rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
- LM Studio
- Jan
- Ollama
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with Ollama:
ollama run hf.co/rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
- Unsloth Studio
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX 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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX 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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX to start chatting
- Pi
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
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": "rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
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 rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with Docker Model Runner:
docker model run hf.co/rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
- Lemonade
How to use rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rcmorano/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX:Q4_0_ROCMFP
Run and chat with the model
lemonade run user.Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX-Q4_0_ROCMFP
List all available models
lemonade list
my models.ini for llamacpp:
[Jackrong-Qwopus3.6-35B-A3B-Coder-Q8_0_ROCMFPX]
model = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/Jackrong-Qwopus3.6-35B-A3B-Coder-Q8_0_ROCMFPX_AGENT.gguf
mmproj = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/mmproj-F32.gguf
chat-template-file = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/chat_template.jinja
alias = jackrong-qwopus3.6-35b-a3b-coder-q8-rocmfpx
ctx-size = 262144
temp = 0.6
top-p = 0.95
top-k = 20
min-p = 0.0
presence-penalty = 0.0
repeat-penalty = 1.0
device = Vulkan0
spec-type = draft-mtp
spec-draft-device = Vulkan0
spec-draft-n-max = 2
spec-draft-ngl = all
spec-draft-type-k = f16
spec-draft-type-v = f16
spec-draft-n-min=0
spec-draft-p-min=0.0
spec-draft-p-split=0.10
np = 1
chat-template-kwargs = {"preserve_thinking": true}
cache-type-k = q8_0
cache-type-v = q8_0
[Jackrong-Qwopus3.6-35B-A3B-Coder-Q8_0_ROCMFPX-it]
model = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/Jackrong-Qwopus3.6-35B-A3B-Coder-Q8_0_ROCMFPX_AGENT.gguf
mmproj = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/mmproj-F32.gguf
chat-template-file = /mnt/models/Jackrong-Qwopus3.6-35B-A3B-Coder-ROCMFPX/chat_template.jinja
alias = jackrong-qwopus3.6-35b-a3b-coder-q8-rocmfpx-it
ctx-size = 262144
temp = 0.6
top-p = 0.95
top-k = 20
min-p = 0.0
presence-penalty = 0.0
repeat-penalty = 1.0
reasoning = off
reasoning-format = none
reasoning-budget = -1
no-context-shift = true
device = Vulkan0
spec-type = draft-mtp
spec-draft-device = Vulkan0
spec-draft-n-max = 2
spec-draft-ngl = all
spec-draft-type-k = f16
spec-draft-type-v = f16
spec-draft-n-min=0
spec-draft-p-min=0.0
spec-draft-p-split=0.10
np = 1
cache-type-k = q8_0
cache-type-v = q8_0
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