Instructions to use LordNeel/Agents-A1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LordNeel/Agents-A1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="LordNeel/Agents-A1-GGUF",
	filename="agents-a1-IQ4_XS-MTP-graft-headQ6.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use LordNeel/Agents-A1-GGUF 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 LordNeel/Agents-A1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LordNeel/Agents-A1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LordNeel/Agents-A1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LordNeel/Agents-A1-GGUF:Q4_K_M

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 LordNeel/Agents-A1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf LordNeel/Agents-A1-GGUF:Q4_K_M

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 LordNeel/Agents-A1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LordNeel/Agents-A1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/LordNeel/Agents-A1-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use LordNeel/Agents-A1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LordNeel/Agents-A1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LordNeel/Agents-A1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LordNeel/Agents-A1-GGUF:Q4_K_M

Ollama
How to use LordNeel/Agents-A1-GGUF with Ollama:
```
ollama run hf.co/LordNeel/Agents-A1-GGUF:Q4_K_M
```

Unsloth Studio

How to use LordNeel/Agents-A1-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LordNeel/Agents-A1-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LordNeel/Agents-A1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LordNeel/Agents-A1-GGUF to start chatting

How to use LordNeel/Agents-A1-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf LordNeel/Agents-A1-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "LordNeel/Agents-A1-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use LordNeel/Agents-A1-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf LordNeel/Agents-A1-GGUF:Q4_K_M

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 LordNeel/Agents-A1-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use LordNeel/Agents-A1-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf LordNeel/Agents-A1-GGUF:Q4_K_M

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 "LordNeel/Agents-A1-GGUF:Q4_K_M" \
  --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"

Docker Model Runner
How to use LordNeel/Agents-A1-GGUF with Docker Model Runner:
```
docker model run hf.co/LordNeel/Agents-A1-GGUF:Q4_K_M
```

Lemonade

How to use LordNeel/Agents-A1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LordNeel/Agents-A1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Agents-A1-GGUF-Q4_K_M

List all available models

lemonade list

LordNeel commited on 3 days ago

Commit

7c8b437

verified ·

1 Parent(s): f7aab52

Document verified mmproj image smoke test

Browse files

Files changed (3) hide show

README.md +5 -3
reports/mmproj-agents-a1-bf16.json +6 -1
reports/mmproj-q4km-actual-image-verify.json +10 -0

README.md CHANGED Viewed

@@ -231,9 +231,11 @@ mmproj can be passed with `--mmproj mmproj-agents-a1-bf16.gguf`.
 Local smoke test:
-| Text GGUF | Image | Result |
-|---|---|---|
-| `agents-a1-Q4_K_M.gguf` | llama.cpp `tools/mtmd/test-1.jpeg` | Loaded mmproj, encoded image, answered `MEN WALK ON MOON`. |
 ## MTP Status

 Local smoke test:
+| Text GGUF | Image | Prompt | Expected | Answer | Verified |
+|---|---|---|---|---|---:|
+| `agents-a1-Q4_K_M.gguf` | llama.cpp `tools/mtmd/test-1.jpeg` | `Look at the newspaper image. What is the main headline? Answer only with the headline text.` | `MEN WALK ON MOON` | `MEN WALK ON MOON` | true |
+Verification report: `reports/mmproj-q4km-actual-image-verify.json`.
 ## MTP Status

reports/mmproj-agents-a1-bf16.json CHANGED Viewed

@@ -42,8 +42,13 @@
   "smoke_test": {
     "text_gguf": "agents-a1-Q4_K_M.gguf",
     "image": "llama.cpp tools/mtmd/test-1.jpeg",
     "runtime": "llama-mtmd-cli",
     "result": "loaded mmproj, encoded image, answered MEN WALK ON MOON",
-    "log": "/home/ripper/agents-a1-quant-lab/runs/mmproj-q4km-smoke-chatml.log"
   }
 }

   "smoke_test": {
     "text_gguf": "agents-a1-Q4_K_M.gguf",
     "image": "llama.cpp tools/mtmd/test-1.jpeg",
+    "prompt": "Look at the newspaper image. What is the main headline? Answer only with the headline text.",
+    "expected": "MEN WALK ON MOON",
+    "answer": "MEN WALK ON MOON",
+    "verified": true,
     "runtime": "llama-mtmd-cli",
     "result": "loaded mmproj, encoded image, answered MEN WALK ON MOON",
+    "report": "reports/mmproj-q4km-actual-image-verify.json",
+    "log": "/home/ripper/agents-a1-quant-lab/runs/mmproj-q4km-actual-image-verify.log"
   }
 }

reports/mmproj-q4km-actual-image-verify.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+  "image": "/home/ripper/agents-a1-quant-lab/vendor/llama.cpp/tools/mtmd/test-1.jpeg",
+  "model": "agents-a1-Q4_K_M.gguf",
+  "mmproj": "mmproj-agents-a1-bf16.gguf",
+  "prompt": "Look at the newspaper image. What is the main headline? Answer only with the headline text.",
+  "expected_headline": "MEN WALK ON MOON",
+  "answer": "MEN WALK ON MOON",
+  "verified": true,
+  "log": "/home/ripper/agents-a1-quant-lab/runs/mmproj-q4km-actual-image-verify.log"
+}