Instructions to use FoolDev/Thanatos-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FoolDev/Thanatos-27B with Transformers:

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

pipe = pipeline("image-text-to-text", model="FoolDev/Thanatos-27B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("FoolDev/Thanatos-27B", dtype="auto")

llama-cpp-python

How to use FoolDev/Thanatos-27B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="FoolDev/Thanatos-27B",
	filename="Thanatos-27B.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use FoolDev/Thanatos-27B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Thanatos-27B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FoolDev/Thanatos-27B:Q4_K_M

Use Docker

docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M

LM Studio
Jan

vLLM

How to use FoolDev/Thanatos-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FoolDev/Thanatos-27B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M

SGLang

How to use FoolDev/Thanatos-27B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "FoolDev/Thanatos-27B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "FoolDev/Thanatos-27B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use FoolDev/Thanatos-27B with Ollama:
```
ollama run hf.co/FoolDev/Thanatos-27B:Q4_K_M
```

Unsloth Studio

How to use FoolDev/Thanatos-27B 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 FoolDev/Thanatos-27B 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 FoolDev/Thanatos-27B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FoolDev/Thanatos-27B to start chatting

How to use FoolDev/Thanatos-27B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf FoolDev/Thanatos-27B: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": "FoolDev/Thanatos-27B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use FoolDev/Thanatos-27B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use FoolDev/Thanatos-27B with Docker Model Runner:
```
docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M
```

Lemonade

How to use FoolDev/Thanatos-27B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FoolDev/Thanatos-27B:Q4_K_M

Run and chat with the model

lemonade run user.Thanatos-27B-Q4_K_M

List all available models

lemonade list

FoolDev Claude Opus 4.7 commited on 13 days ago

Commit

31ddd88

1 Parent(s): 8bddbe0

docs: fix qwen36 retest recipe + clarify today's error surface

Browse files

Reconfirmed against Ollama 0.24.0 on 2026-05-19. Two bugs surfaced in
the README recipe added a few commits ago:

1. FROM ./Thanatos-27B.Q4_K_M.qwen36.gguf written to /tmp/Modelfile.qwen36
never resolves — `ollama create` resolves a relative FROM against
the Modelfile's directory (/tmp), not the user's CWD. The CLI fails
with `400 Bad Request: invalid model name` before the loader runs,
which had me chasing a name-validation ghost for a few minutes.
Recipe now uses `FROM $PWD/...` so it works from any CWD as long
as the rebadged GGUF sits there.

2. The CLI no longer prints `unknown model architecture: 'qwen36'`
— Ollama 0.24's scheduler wraps the loader and surfaces only
`500 Internal Server Error: unable to load model: <blob path>`.
The arch-unknown line still appears in `journalctl --user -u ollama`,
so the underlying status is unchanged; just the surface error is
different. README now points readers at the server log for the
real diagnosis and stamps a reconfirmation date.

Status itself: unchanged. Upstream llama.cpp + Ollama still register
the hybrid stack as `qwen35` / `qwen35moe` only, and a qwen36-rebadged
GGUF is still unloadable. The bundle stays stamped qwen35.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Files changed (2) hide show

CHANGELOG.md +15 -0
README.md +13 -5

CHANGELOG.md CHANGED Viewed

@@ -26,6 +26,21 @@ and documentation**, not the underlying base model.
   succeeds is when the bundle gets flipped.
 ### Fixed
 - Canonicalized HF repo URL case throughout docs and scripts:
   `FoolDev/thanatos-27b` → `FoolDev/Thanatos-27B` (the actual HF
   repository name). Touched README.md, examples/README.md,

   succeeds is when the bundle gets flipped.
 ### Fixed
+- README qwen36-retest recipe had two bugs that surfaced on
+  reconfirmation against Ollama 0.24.0 on 2026-05-19:
+  1. `echo "FROM ./Thanatos-27B.Q4_K_M.qwen36.gguf" > /tmp/Modelfile.qwen36`
+     never resolves: `ollama create` looks up a relative `FROM` against
+     the Modelfile's directory (`/tmp`), not the user's CWD. The CLI
+     fails with `400 Bad Request: invalid model name` before the
+     loader runs, which is misleading. Recipe now uses
+     `FROM $PWD/Thanatos-27B.Q4_K_M.qwen36.gguf`.
+  2. The CLI error users see today is no longer
+     `unknown model architecture: 'qwen36'` — Ollama 0.24's scheduler
+     wraps the loader and surfaces only
+     `500 Internal Server Error: unable to load model: <blob path>`.
+     The arch-unknown line still appears in the server log
+     (`journalctl --user -u ollama`). README now spells out where to
+     look for the real cause and stamps the reconfirmation date.
 - Canonicalized HF repo URL case throughout docs and scripts:
   `FoolDev/thanatos-27b` → `FoolDev/Thanatos-27B` (the actual HF
   repository name). Touched README.md, examples/README.md,

README.md CHANGED Viewed

@@ -187,13 +187,21 @@ Want to retest the qwen36 path on your machine? Smudge LFS, then:
 python3 scripts/rename_arch.py \
     Thanatos-27B.Q4_K_M.gguf \
     Thanatos-27B.Q4_K_M.qwen36.gguf
-echo "FROM ./Thanatos-27B.Q4_K_M.qwen36.gguf" > /tmp/Modelfile.qwen36
-ollama create thanatos-27b-qwen36 -f /tmp/Modelfile.qwen36
-ollama run thanatos-27b-qwen36 hi
 ```
-Today that last line errors with `unknown model architecture:
-'qwen36'`. The day it succeeds is the day the bundle can be flipped.
 ## Quick start

 python3 scripts/rename_arch.py \
     Thanatos-27B.Q4_K_M.gguf \
     Thanatos-27B.Q4_K_M.qwen36.gguf
+# Use an absolute path — ollama resolves a relative FROM against the
+# Modelfile's directory, not your CWD, so `FROM ./...` in /tmp/ fails
+# with a misleading 400 / "unable to load model" before the loader runs.
+echo "FROM $PWD/Thanatos-27B.Q4_K_M.qwen36.gguf" > /tmp/Modelfile.qwen36
+ollama create test-qwen36 -f /tmp/Modelfile.qwen36
+ollama run test-qwen36 hi
 ```
+Today that last line errors with `500 Internal Server Error: unable
+to load model: <blob path>`. The CLI no longer surfaces the arch
+name; check `journalctl --user -u ollama` (or wherever your server
+logs go) for the underlying `error loading model architecture:
+unknown model architecture: 'qwen36'`. The day that line succeeds is
+the day the bundle can be flipped (reconfirmed 2026-05-19 against
+Ollama 0.24.0).
 ## Quick start