Instructions to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain 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 SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
# Run inference directly in the terminal:
llama cli -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
# Run inference directly in the terminal:
llama cli -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

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 SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
# Run inference directly in the terminal:
./llama-cli -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

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 SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

Use Docker

docker model run hf.co/SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

LM Studio
Jan
Ollama
How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with Ollama:
```
ollama run hf.co/SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
```
Unsloth Desktop

How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

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": "SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with Docker Model Runner:
```
docker model run hf.co/SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16
```

Lemonade

How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

Run and chat with the model

lemonade run user.SZL-Khipu-1.5B-abstain-F16

List all available models

lemonade list

Hermes Agent

How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

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 SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use SZLHOLDINGS/SZL-Khipu-1.5B-abstain with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16

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 "SZLHOLDINGS/SZL-Khipu-1.5B-abstain:F16" \
  --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"

betterwithage commited on 10 days ago

Commit

1dd03ac

verified ·

1 Parent(s): 0b14f66

Upload training_receipt.signed.json with huggingface_hub

Browse files

Files changed (1) hide show

training_receipt.signed.json +28 -0

training_receipt.signed.json ADDED Viewed

	@@ -0,0 +1,28 @@

+{
+  "payload": {
+    "kind": "szl-khipu-training-receipt",
+    "v": 1,
+    "capabilityProfile": "SZL-Khipu-1.5B-BrainNavigator",
+    "baseModel": "Qwen/Qwen2.5-1.5B-Instruct",
+    "datasets": {
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+      "eval.jsonl": "61ede1488e3c6e3cded81679affe258e8d03c47019424182330a94b8c505794e",
+      "train.abstain.jsonl": "421a6e733fda656c18b250ad5a5140f010392598750c48d672972f45a1e6c4a6",
+      "adversarial.jsonl": "812a23b3ed15c1df8c5e18b2365b6e7c474968f42f329a5f30b7c57c445659fd",
+      "khipu.schema.json": "b95f9927366dae7c5d36cfb7de6e229eb605524318ab642a6aa2292a212170d0"
+    },
+    "schemaFingerprintSha256": "f05e38b406b5e893e8a7dd23029a0c252b5e53994e8ac777a810b227dc2d7e64",
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+    "adapterSha256": "bd5a1a92b24d85bac19a8df203287e1d4173b6d59d4bc7212f862eef60d9f1db",
+    "weightsArtifactSha256": "86c33222c44349c31c3db9a42429a4bfe7b79acc1b68b26645645e881e553476",
+    "servedModel": "khipu",
+    "trainedAt": "2026-09-08T18:44:18.461205+00:00",
+    "host": "betterwithage",
+    "finalTrainLoss": "0.0250",
+    "keyId": "89540347a69b789e"
+  },
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+  "signatureBase64": "zP/AcUxUF2AYdf3QpolXMpO+1Q4d433M+otOuprhqnhZtrHFYF53+2qNPZjgjaqzCFOwfBxjE0rBYHigbH/2BA==",
+  "publicKeySpkiBase64": "MCowBQYDK2VwAyEAk3N3ZehTp+jwgSEm9Qvl+bn3fKTAsGlyP96WT2EF1A0=",
+  "keyId": "89540347a69b789e"
+}