Instructions to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF",
	filename="FINAL-Bench_Darwin-36B-Opus-IQ2_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/FINAL-Bench_Darwin-36B-Opus-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 bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/FINAL-Bench_Darwin-36B-Opus-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 bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/FINAL-Bench_Darwin-36B-Opus-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": "bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

Ollama
How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with Ollama:
```
ollama run hf.co/bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
```

Unsloth Studio new

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-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 bartowski/FINAL-Bench_Darwin-36B-Opus-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 bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF to start chatting

Pi new

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf bartowski/FINAL-Bench_Darwin-36B-Opus-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": "bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf bartowski/FINAL-Bench_Darwin-36B-Opus-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 bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/FINAL-Bench_Darwin-36B-Opus-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.FINAL-Bench_Darwin-36B-Opus-GGUF-Q4_K_M

List all available models

lemonade list

bartowski commited on 21 days ago

Commit

5c3de7c

verified ·

1 Parent(s): c15570b

Update metadata with huggingface_hub

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README.md +64 -0

README.md CHANGED Viewed

@@ -1,6 +1,70 @@
 ---
 quantized_by: bartowski
 pipeline_tag: text-generation
 ---
 ## Llamacpp imatrix Quantizations of Darwin-36B-Opus by FINAL-Bench

 ---
 quantized_by: bartowski
 pipeline_tag: text-generation
+base_model: FINAL-Bench/Darwin-36B-Opus
+tags:
+- darwin
+- darwin-v7
+- evolutionary-merge
+- reasoning
+- advanced-reasoning
+- chain-of-thought
+- thinking
+- qwen3.6
+- qwen
+- moe
+- mixture-of-experts
+- claude-opus
+- distillation
+- multilingual
+- gpqa
+- benchmark
+- open-source
+- apache-2.0
+- hybrid-vigor
+- proto-agi
+- vidraft
+- eval-results
+language:
+- en
+- zh
+- ko
+- ja
+- de
+- fr
+- es
+- ru
+- ar
+- multilingual
+license: apache-2.0
+base_model_relation: quantized
+model-index:
+- name: Darwin-36B-Opus
+  results:
+  - task:
+      type: text-generation
+      name: Graduate-Level Reasoning
+    dataset:
+      name: GPQA Diamond
+      type: Idavidrein/gpqa
+      config: gpqa_diamond
+      split: train
+    metrics:
+    - type: accuracy
+      value: 88.4
+      name: Accuracy
+      verified: false
+  - task:
+      type: text-generation
+      name: Multilingual Knowledge
+    dataset:
+      name: MMMLU
+      type: openai/MMMLU
+    metrics:
+    - type: accuracy
+      value: 85.0
+      name: Accuracy
+      verified: false
 ---
 ## Llamacpp imatrix Quantizations of Darwin-36B-Opus by FINAL-Bench