Instructions to use peculiar-ragdoll/Tiel-Coder-35B-A3B-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 peculiar-ragdoll/Tiel-Coder-35B-A3B-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 peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S # Run inference directly in the terminal: llama cli -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S # Run inference directly in the terminal: llama cli -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-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 peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-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 peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
Use Docker
docker model run hf.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
- LM Studio
- Jan
- vLLM
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "peculiar-ragdoll/Tiel-Coder-35B-A3B-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": "peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
- Ollama
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with Ollama:
ollama run hf.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
- Unsloth Desktop
- Pi
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with Docker Model Runner:
docker model run hf.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
- Lemonade
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
Run and chat with the model
lemonade run user.Tiel-Coder-35B-A3B-GGUF-UD-Q4_K_S
List all available models
lemonade list
- Hermes Agent
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
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 peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S
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 "peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF:UD-Q4_K_S" \ --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"
innnnnnnnnnnnnteresting
ima try this!
let me know how it goes :)
let me know how it goes :)
sure,first i will test it with that question:
Question:
Consider a three-qubit system. Let the initial state be a generalized W-GHZ mixture:
a) Verify whether this state is normalized (is the sum of the squared coefficients equal to 1?).
b) The system evolves under the Hamiltonian $H = \sum_{i<j} J_{ij},\vec{S_i}\cdot\vec{S_j}$; here $J_{12}=J$, $J_{23}=J$, $J_{13}=2J$ (i.e., an asymmetric, non-triangular coupling β qubits 1 and 3 interact twice as strongly as the others). To find the state at time $t$, first decompose it into the joint eigenstates of total spin $S^2$ and $S_z$ (such that the Hamiltonian is diagonal in this basis).
c) At time $t$, trace out qubit 1 and calculate the concurrence of the remaining 2-3 qubit pair. Note: this will be a mixed state because qubit 1 is traced out β the pure state formula ($2|ad-bc|$) is invalid here, you need to use Wootters' mixed-state concurrence formula (via the eigenvalues of $\rho\tilde{\rho}$).
d) Calculate the tripartite entanglement (three-tangle, $\tau_{ABC}$) of the three qubits at time $t=0$ and show how it is derived from the sum of the squared bipartite concurrences (CKW inequality: $\tau_{ABC} = C_{A(BC)}^2 - C_{AB}^2 - C_{AC}^2$).
e) Now add a "dissipative coupling" (dissipative two-qubit loss) to the system in the form of $L_1 = \sqrt{\gamma}(S_{1+}S_{2-})$ β this is not single-qubit dephasing, but a collective loss channel between two qubits. Discuss why the behavior of the three-qubit entanglement (three-tangle) under this type of Lindblad operator must be fundamentally different from the single-qubit dephasing case seen in the previous question (hint: collective loss channels can form a decoherence-free subspace).
TielCoder is built specifically for agentic coding, not for postgrad math and reasoning! :) You will probably find Tiel underperforming stock 35b-a3b on several hard reasoning and knowledge questions, while winning on coding-specific tasks.
TielCoder is built specifically for agentic coding, not for postgrad math and reasoning! :) You will probably find Tiel underperforming stock 35b-a3b on several hard reasoning and knowledge questions, while winning on coding-specific tasks.
The very reason finetunes and the like exist! I'm looking into making a Q4NX if there's nothing hard-blocking from the template somehow, if the back-end even cares about that.