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"
r3 + POV head (DQ-380): v4 config (tension + pov blocks), model.w8.onnx with trunk_hidden (r3 logits bit-identical to 506cf3aa), pov_head.w8.onnx
Browse files- model.w8.onnx +2 -2
- pov_head.w8.onnx +3 -0
- verifier_config.json +54 -2
model.w8.onnx
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3237bc2cdd485b43e5b9a495987f5a9d756d11c13c872019e5445fd92190fb34
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size 643272938
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pov_head.w8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:84c4fe9e9ffcaaff8b65ad0e58d18f1689bb224ec112d4ed9196f7a86eb05da7
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size 47859885
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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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"marker_mask",
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"qtype"
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],
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"output": "logits"
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}
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{
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"schema": "deepquill-laya-verifier-v4",
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"checks": [
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"aboutTarget",
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"lasting",
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"marker_mask",
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"qtype"
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],
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"output": "logits",
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"pov": {
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"person": {
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"ins": "In which person is this scene narrated, and through whose mind?",
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"types": [
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"first",
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"second",
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"third",
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"omniscient"
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],
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"criteria": [
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"an I or we narrator tells it",
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"the protagonist is addressed as you throughout",
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"he or she narration that stays inside ONE character's mind",
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"he or she narration that enters several minds, or knows what no one present could"
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]
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},
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"character": {
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"ins": "Whose point of view is this scene told from? Pick the narrator, or the one character whose thoughts the narration stays inside.",
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"nobody": "nobody",
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"nobody_criterion": "no single character: an unnamed narrator, or several minds"
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},
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"state_keys": [
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"passage"
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],
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"qtype": 0,
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"max_len": 1280,
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"temperature": 0.8660955429077148,
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"head_file": "pov_head.w8.onnx",
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"inputs": [
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"trunk_hidden",
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"attention_mask",
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"marker_pos",
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"marker_mask"
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],
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"output": "logits"
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},
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"outputs": [
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"logits",
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"trunk_hidden"
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],
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"tension": {
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"ins": "How tense is this scene to read? Judge what is at stake, how much physical or emotional danger the main character is in, and how close they are to failure. Judge the scene's peak.",
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"crit": [
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"calm: description, travel, backstory or comfortable talk, nothing at stake",
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"a mild undercurrent: unease, a small worry, a minor disagreement",
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"something real at stake: an open conflict, a secret at risk, a hard choice",
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"serious danger or confrontation: a threat, an accusation, an outcome in doubt",
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"acute danger: violence, a chase, a life or everything at stake, failure very near"
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],
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"max_len": 1280,
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"temperature": 1.2514300346374512
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}
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}
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