Text Classification
ONNX
GGUF
Laya
onnxruntime
typed-decisions
modernbert
fiction
character-traits
conversational
Instructions to use deepquillapp/trait-verifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use deepquillapp/trait-verifier with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use deepquillapp/trait-verifier 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 deepquillapp/trait-verifier:Q8_0 # Run inference directly in the terminal: llama cli -hf deepquillapp/trait-verifier:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf deepquillapp/trait-verifier:Q8_0 # Run inference directly in the terminal: llama cli -hf deepquillapp/trait-verifier:Q8_0
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 deepquillapp/trait-verifier:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf deepquillapp/trait-verifier:Q8_0
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 deepquillapp/trait-verifier:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf deepquillapp/trait-verifier:Q8_0
Use Docker
docker model run hf.co/deepquillapp/trait-verifier:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use deepquillapp/trait-verifier with Ollama:
ollama run hf.co/deepquillapp/trait-verifier:Q8_0
- Unsloth Desktop
- Pi
How to use deepquillapp/trait-verifier with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf deepquillapp/trait-verifier:Q8_0
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": "deepquillapp/trait-verifier:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use deepquillapp/trait-verifier with Docker Model Runner:
docker model run hf.co/deepquillapp/trait-verifier:Q8_0
- Lemonade
How to use deepquillapp/trait-verifier with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull deepquillapp/trait-verifier:Q8_0
Run and chat with the model
lemonade run user.trait-verifier-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use deepquillapp/trait-verifier with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf deepquillapp/trait-verifier:Q8_0
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 deepquillapp/trait-verifier:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use deepquillapp/trait-verifier with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf deepquillapp/trait-verifier:Q8_0
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 "deepquillapp/trait-verifier:Q8_0" \ --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"
Round 3: adds LLM Validation (is this a character / location?); traits keep-F1 0.761, interactions macro-F1 0.480/0.653; config schema v3
Browse files- model.w8.onnx +2 -2
- verifier_config.json +32 -4
model.w8.onnx
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verifier_config.json
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{
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"schema": "deepquill-laya-verifier-
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"checks": [
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"aboutTarget",
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"lasting",
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"max_len": 512,
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"head_max_len": 192,
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"option_max_tokens": 48,
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"temperature": 1.
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"threshold": 0.5,
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"interaction": {
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"types": [
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"passage"
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"qtype": 0,
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"temperature": 1.
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"max_len": 768,
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"bias":
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},
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"inputs": [
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"input_ids",
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{
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"schema": "deepquill-laya-verifier-v3",
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"checks": [
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"aboutTarget",
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"lasting",
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"max_len": 512,
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"head_max_len": 192,
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"option_max_tokens": 48,
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"temperature": 1.54689359664917,
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"threshold": 0.5,
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"interaction": {
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"types": [
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"passage"
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],
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"qtype": 0,
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"temperature": 1.4507882595062256,
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"max_len": 768,
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"bias": [
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0.5,
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"validation": {
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"types": {
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"character": {
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"ins": "NAME refers to a character: one specific individual in the story who acts, speaks, thinks, is addressed, or is talked about as that individual.",
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"true": "a person, being or named animal of the story, including minor or off-stage ones, or a title used as one person's name",
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"false": "an allusion or comparison to someone outside the story, a group or nationality, a concept, thing or place, or a cut or padded name"
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},
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"location": {
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"ins": "NAME is the proper name of a specific place in the story: a city, region, country, street, building, estate or fictional place, used as a place.",
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"true": "a named place in the story's world",
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"false": "a person's name, a nationality, an organisation, a common noun, an abstraction, or a cut or padded name"
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}
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},
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"state_keys": [
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"name",
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"passage"
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],
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"qtype": 2,
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"temperature": 1.54689359664917,
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"threshold": 0.5,
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"max_len": 512
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},
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"inputs": [
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"input_ids",
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