Instructions to use eyad-silx/progress 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 eyad-silx/progress 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 eyad-silx/progress # Run inference directly in the terminal: llama cli -hf eyad-silx/progress
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf eyad-silx/progress # Run inference directly in the terminal: llama cli -hf eyad-silx/progress
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf eyad-silx/progress # Run inference directly in the terminal: ./build/bin/llama cli -hf eyad-silx/progress
Use Docker
docker model run hf.co/eyad-silx/progress
- Llama new
- LM Studio
- Jan
- Ollama
How to use eyad-silx/progress with Ollama:
ollama run hf.co/eyad-silx/progress
- Unsloth Desktop
- Pi
How to use eyad-silx/progress with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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": "eyad-silx/progress" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use eyad-silx/progress with Docker Model Runner:
docker model run hf.co/eyad-silx/progress
- Lemonade
How to use eyad-silx/progress with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull eyad-silx/progress
Run and chat with the model
lemonade run user.progress-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use eyad-silx/progress with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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 eyad-silx/progress
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use eyad-silx/progress with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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 "eyad-silx/progress" \ --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"
Upload podflow/fix6.sh with huggingface_hub
Browse files- podflow/fix6.sh +17 -0
podflow/fix6.sh
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#!/bin/bash
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set -euo pipefail
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TOK="Authorization: Bearer ${1:?need token arg}"
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KING="Ingot-XIV-27B-Q2"; PREV="Ingot-XIII-27B-Q2"
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rm -f /root/models/king/cur.gguf /root/models/king/prev.gguf /root/models/king/current/*.gguf
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curl -sL -H "$TOK" -o /root/models/king/cur.gguf "https://huggingface.co/dendriteholdings/$KING/resolve/main/$KING-PQ2_0.gguf"
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curl -sL -H "$TOK" -o /root/models/king/prev.gguf "https://huggingface.co/dendriteholdings/$PREV/resolve/main/$PREV-PQ2_0.gguf"
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cp /root/models/king/cur.gguf "/root/models/king/current/$KING-PQ2_0.gguf"
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[ "$(stat -c%s /root/models/king/cur.gguf)" -gt 7000000000 ] || { echo CUR_TOO_SMALL; exit 1; }
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[ "$(stat -c%s /root/models/king/prev.gguf)" -gt 7000000000 ] || { echo PREV_TOO_SMALL; exit 1; }
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head -c 4 /root/models/king/cur.gguf | grep -q GGUF || { echo CUR_NOT_GGUF; exit 1; }
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echo KINGS_OK
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[ -s /root/king_hf.pt ] || /root/ingot/.venv/bin/python /root/build_king_hf.py \
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&& echo SURROGATE_OK
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cd /root/ingot
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.venv/bin/python /root/fn_test.py && .venv/bin/python /root/transform_check.py \
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&& echo SETUP_COMPLETE_ALL_GREEN_FOR_REAL
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