Instructions to use landtml/d1-2B-RAG-Verifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use landtml/d1-2B-RAG-Verifier with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="landtml/d1-2B-RAG-Verifier", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModel

processor = AutoProcessor.from_pretrained("landtml/d1-2B-RAG-Verifier", trust_remote_code=True)
model = AutoModel.from_pretrained("landtml/d1-2B-RAG-Verifier", trust_remote_code=True, device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use landtml/d1-2B-RAG-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 landtml/d1-2B-RAG-Verifier:Q8_0
# Run inference directly in the terminal:
llama cli -hf landtml/d1-2B-RAG-Verifier:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf landtml/d1-2B-RAG-Verifier:Q8_0
# Run inference directly in the terminal:
llama cli -hf landtml/d1-2B-RAG-Verifier:Q8_0

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 landtml/d1-2B-RAG-Verifier:Q8_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf landtml/d1-2B-RAG-Verifier:Q8_0

Use Docker

docker model run hf.co/landtml/d1-2B-RAG-Verifier:Q8_0

Llama new
LM Studio
Jan
Ollama
How to use landtml/d1-2B-RAG-Verifier with Ollama:
```
ollama run hf.co/landtml/d1-2B-RAG-Verifier:Q8_0
```
Unsloth Desktop

How to use landtml/d1-2B-RAG-Verifier with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf landtml/d1-2B-RAG-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": "landtml/d1-2B-RAG-Verifier:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use landtml/d1-2B-RAG-Verifier with Docker Model Runner:
```
docker model run hf.co/landtml/d1-2B-RAG-Verifier:Q8_0
```

Lemonade

How to use landtml/d1-2B-RAG-Verifier with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull landtml/d1-2B-RAG-Verifier:Q8_0

Run and chat with the model

lemonade run user.d1-2B-RAG-Verifier-Q8_0

List all available models

lemonade list

Hermes Agent

How to use landtml/d1-2B-RAG-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 landtml/d1-2B-RAG-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 landtml/d1-2B-RAG-Verifier:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use landtml/d1-2B-RAG-Verifier with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf landtml/d1-2B-RAG-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 "landtml/d1-2B-RAG-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"

d1-2B-RAG-Verifier / eval /dev_predictions.jsonl

landtml

Release d1-2B RAG Verifier

8d9bafb 3 days ago

Raw History Blame Contribute Delete

154 kB

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