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 new

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

Pi new

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 26 days ago

Commit

f4e7fa4

1 Parent(s): 8a225df

smoke_test: assert tools capability is exposed (regression guard)

Browse files

The Modelfile TEMPLATE work (commit 80f4494) wired up tool calling by
making Ollama's capability detector see .Tools / .ToolCalls. Nothing
in CI guards against a future Modelfile change silently stripping or
breaking that TEMPLATE — the round-trip and token-leakage checks both
still pass on a TEMPLATE-less model, just without the `tools`
capability.

Hit /api/show, parse the capabilities list, fail if `tools` isn't
there. Catches the regression at make-smoke time instead of letting it
surface as a `does not support tools` 400 when someone tries to use
it.

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

Files changed (2) hide show

CHANGELOG.md +6 -0
scripts/smoke_test.sh +20 -2

CHANGELOG.md CHANGED Viewed

@@ -39,6 +39,12 @@ and documentation**, not the underlying base model.
   output that motivated the stop-token fix above. The smoke test now
   fails hard if `<|im_start|>`, `<|im_end|>`, or `<|endoftext|>` appear
   verbatim in the response.
 ### Removed
 - `Modelfile.z13` and the `z13` build profile. The Z13-specific tuning

   output that motivated the stop-token fix above. The smoke test now
   fails hard if `<|im_start|>`, `<|im_end|>`, or `<|endoftext|>` appear
   verbatim in the response.
+- `scripts/smoke_test.sh`: tools-capability guard. Hits `/api/show` and
+  asserts `tools` is in the capabilities list before running the
+  round-trip. Locks in the Modelfile `TEMPLATE` work — if a future
+  change strips or breaks the TEMPLATE so Ollama no longer detects
+  `.Tools` / `.ToolCalls`, `make smoke` fails before the user discovers
+  it via a `does not support tools` 400.
 ### Removed
 - `Modelfile.z13` and the `z13` build profile. The Z13-specific tuning

scripts/smoke_test.sh CHANGED Viewed

@@ -4,7 +4,9 @@
 # Verifies:
 #   1. The Ollama server is reachable.
 #   2. The target model is loaded / loadable.
-#   3. A single chat round-trip succeeds and produces non-empty output.
 #
 # Usage:
 #   ./scripts/smoke_test.sh                  # uses MODEL=janus-27b
@@ -46,7 +48,23 @@ if ! curl -fsS "${HOST}/api/tags" | jq -e --arg m "${MODEL}" '.models[] | select
 fi
 green "[+] model present"
-# 3. Round-trip
 blue "[*] sending test prompt..."
 RESP="$(curl -fsS "${HOST}/api/chat" \
     -H 'Content-Type: application/json' \

 # Verifies:
 #   1. The Ollama server is reachable.
 #   2. The target model is loaded / loadable.
+#   3. The model exposes the `tools` capability (Modelfile TEMPLATE wired).
+#   4. A single chat round-trip succeeds and produces non-empty output.
+#   5. No chat-template control tokens leak into the response.
 #
 # Usage:
 #   ./scripts/smoke_test.sh                  # uses MODEL=janus-27b
 fi
 green "[+] model present"
+# 3. Capability guard: the Modelfile TEMPLATE must expose .Tools / .ToolCalls
+# so Ollama lists `tools` under capabilities. Without it, /api/chat with a
+# tools array returns 400 "does not support tools" even though plain chat
+# works. Catches Modelfile regressions that strip or break the TEMPLATE.
+CAPS="$(curl -fsS "${HOST}/api/show" -H 'Content-Type: application/json' \
+    -d "$(jq -n --arg m "${MODEL}" '{name: $m}')" | jq -r '.capabilities[]?')"
+if ! grep -qx -- 'tools' <<<"${CAPS}"; then
+    red "[!] model missing capability: tools"
+    red "    Modelfile likely missing TEMPLATE that references .Tools / .ToolCalls."
+    echo "----- present capabilities -----"
+    echo "${CAPS:-<none>}"
+    echo "--------------------------------"
+    exit 1
+fi
+green "[+] capabilities include: tools"
+# 4. Round-trip
 blue "[*] sending test prompt..."
 RESP="$(curl -fsS "${HOST}/api/chat" \
     -H 'Content-Type: application/json' \