Instructions to use devanshbatham/nyx 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 devanshbatham/nyx 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 devanshbatham/nyx # Run inference directly in the terminal: llama cli -hf devanshbatham/nyx
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf devanshbatham/nyx # Run inference directly in the terminal: llama cli -hf devanshbatham/nyx
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 devanshbatham/nyx # Run inference directly in the terminal: ./llama-cli -hf devanshbatham/nyx
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 devanshbatham/nyx # Run inference directly in the terminal: ./build/bin/llama-cli -hf devanshbatham/nyx
Use Docker
docker model run hf.co/devanshbatham/nyx
- LM Studio
- Jan
- vLLM
How to use devanshbatham/nyx with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "devanshbatham/nyx" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "devanshbatham/nyx", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/devanshbatham/nyx
- Ollama
How to use devanshbatham/nyx with Ollama:
ollama run hf.co/devanshbatham/nyx
- Unsloth Desktop
- Pi
How to use devanshbatham/nyx with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf devanshbatham/nyx
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": "devanshbatham/nyx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use devanshbatham/nyx with Docker Model Runner:
docker model run hf.co/devanshbatham/nyx
- Lemonade
How to use devanshbatham/nyx with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull devanshbatham/nyx
Run and chat with the model
lemonade run user.nyx-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use devanshbatham/nyx with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf devanshbatham/nyx
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 devanshbatham/nyx
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use devanshbatham/nyx with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf devanshbatham/nyx
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 "devanshbatham/nyx" \ --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"
File size: 1,180 Bytes
f80a01b 7519c08 f80a01b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | #!/usr/bin/env python3
"""Fail-closed integrity check for the nyx package."""
from __future__ import annotations
import hashlib
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parent
def digest(path: Path) -> str:
checksum = hashlib.sha256()
with path.open("rb") as stream:
for block in iter(lambda: stream.read(8 * 1024 * 1024), b""):
checksum.update(block)
return checksum.hexdigest()
manifest = json.loads((ROOT / "release-manifest.json").read_text())
if manifest.get("repository") != "devanshbatham/nyx":
raise SystemExit("Unexpected repository identity")
for name, metadata in manifest["files"].items():
path = ROOT / name
if not path.is_file() or path.is_symlink():
raise SystemExit(f"Missing or unsafe release file: {name}")
if path.stat().st_size != metadata["bytes"]:
raise SystemExit(f"Size mismatch: {name}")
if digest(path) != metadata["sha256"]:
raise SystemExit(f"SHA-256 mismatch: {name}")
print(json.dumps({
"verified": True,
"files": len(manifest["files"]),
"total_bytes": manifest["total_bytes"],
"repository": manifest["repository"],
}))
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