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 11 days ago

Commit

b420378

1 Parent(s): 87c73c9

docs: add safetensors mirror of Qwen/Qwen3.6-27B

Browse files

Transformers-loadable safetensors are now mirrored in this repo via
`hf upload-large-folder`. Tensor data byte-identical to upstream.

- README: new rows in "What's here" for shards/configs/tokenizer;
"If you want safetensors" pointer replaced with a one-paragraph
note that they're now in this repo; "Related models" row notes
the mirror.
- examples/README.md: transformers row description updated.
- examples/transformers_quickstart.py: MODEL_ID defaults to
FoolDev/Thanatos-27B; docstring rewritten.
- CHANGELOG: new "Added" entry under [Unreleased].

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

Files changed (4) hide show

CHANGELOG.md +18 -0
README.md +12 -2
examples/README.md +1 -1
examples/transformers_quickstart.py +9 -6

CHANGELOG.md CHANGED Viewed

@@ -7,6 +7,24 @@ and documentation**, not the underlying base model.
 ## [Unreleased]
 ### Changed (4th round trip — qwen36 → qwen35, friction concretely tested)
 - **Bundle re-stamped `general.architecture: 'qwen36'` → `'qwen35'`**
   in `hf upload` commit `978798f` (HF). Fourth stamp flip on the

 ## [Unreleased]
+### Added (safetensors mirror)
+- **Mirrored Qwen/Qwen3.6-27B's transformers-loadable safetensors
+  set into this repo.** 15 sharded `.safetensors` files (~58 GB
+  total) + `model.safetensors.index.json` + tokenizer files
+  (`tokenizer.json`, `tokenizer_config.json`, `vocab.json`,
+  `merges.txt`) + configs (`config.json`, `configuration.json`,
+  `generation_config.json`, `preprocessor_config.json`,
+  `video_preprocessor_config.json`) + `chat_template.jinja`.
+  Tensor data byte-identical to upstream; the mirror saves a
+  second `hf download` for users who want both GGUF + safetensors
+  in one place. `.gitignore` was updated separately (commit
+  `0c5bee4`) to whitelist the Qwen sharded naming pattern before
+  the upload's preupload check ran (HF reads the destination
+  repo's `.gitignore` to decide `shouldIgnore` per file).
+- `examples/transformers_quickstart.py` now defaults `MODEL_ID`
+  to `FoolDev/Thanatos-27B` so a fresh user only needs to pull
+  this repo to get a working transformers entry point.
 ### Changed (4th round trip — qwen36 → qwen35, friction concretely tested)
 - **Bundle re-stamped `general.architecture: 'qwen36'` → `'qwen35'`**
   in `hf upload` commit `978798f` (HF). Fourth stamp flip on the

README.md CHANGED Viewed

@@ -125,6 +125,9 @@ The 27B is **dense**: every parameter participates in every forward pass. It's s
 | `scripts/verify_arch.py` | Cross-checks the README "Architecture" forward-pass bullets (layer count, head counts, hidden / FFN dims, RoPE factor, SSM dims, vocab, context) against the actual GGUF metadata keys. Run as `make verify-arch`. Handles both `qwen35`- and `qwen36`-stamped bundles; exit non-zero if any value mismatches. Not part of `make check` because it loads the 17 GB GGUF (LFS smudge required); run on demand. |
 | `scripts/install-hooks.sh` | Installs `check.sh` as a git pre-commit hook |
 | `Makefile` | Convenience wrapper — `make help` lists targets |
 | `LICENSE`, `CITATION.cff` | Apache-2.0 license and citation metadata |
 | `CHANGELOG.md` | Versioned tooling/docs changes |
 | `README.md` | This file |
@@ -138,7 +141,14 @@ local-build path applies this repo's `Modelfile`; the `hf.co/...`
 path applies the root-level `template`, `system`, and `params`
 files (kept in sync with the `Modelfile`).
-If you want the safetensors for `transformers`, fetch them from [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B).
 ## Architecture
@@ -551,7 +561,7 @@ python examples/ollama_chat.py        # section 3 runs a real round-trip
 | Model | Notes |
 |---|---|
-| [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) | Upstream base, safetensors |
 | [unsloth/Qwen3.6-27B-GGUF](https://huggingface.co/unsloth/Qwen3.6-27B-GGUF) | Recommended GGUF source |
 | [FoolDev/Janus-35B](https://huggingface.co/FoolDev/Janus-35B) | 35B-A3B MoE sibling. More capacity, more memory pressure. |
 | [Crownelius/Crow-9B-HERETIC-4.6](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6) | 9B starter model when 27B/35B is too heavy |

 | `scripts/verify_arch.py` | Cross-checks the README "Architecture" forward-pass bullets (layer count, head counts, hidden / FFN dims, RoPE factor, SSM dims, vocab, context) against the actual GGUF metadata keys. Run as `make verify-arch`. Handles both `qwen35`- and `qwen36`-stamped bundles; exit non-zero if any value mismatches. Not part of `make check` because it loads the 17 GB GGUF (LFS smudge required); run on demand. |
 | `scripts/install-hooks.sh` | Installs `check.sh` as a git pre-commit hook |
 | `Makefile` | Convenience wrapper — `make help` lists targets |
+| `model-*-of-00015.safetensors` (15 files, ~58 GB) + `model.safetensors.index.json` | Transformers-loadable safetensors mirror of `Qwen/Qwen3.6-27B`. Byte-identical to upstream. |
+| `config.json`, `configuration.json`, `generation_config.json`, `preprocessor_config.json`, `video_preprocessor_config.json`, `chat_template.jinja` | Model + processor + chat-template configs mirrored from upstream — what `from_pretrained` needs. |
+| `tokenizer.json`, `tokenizer_config.json`, `vocab.json`, `merges.txt` | Tokenizer files mirrored from upstream. |
 | `LICENSE`, `CITATION.cff` | Apache-2.0 license and citation metadata |
 | `CHANGELOG.md` | Versioned tooling/docs changes |
 | `README.md` | This file |
 path applies the root-level `template`, `system`, and `params`
 files (kept in sync with the `Modelfile`).
+The transformers safetensors set is mirrored in this repo
+(15 sharded `.safetensors` files + index + tokenizer + configs
++ chat template), so `AutoModelForCausalLM.from_pretrained(
+"FoolDev/Thanatos-27B")` works directly. Tensor data is
+byte-identical to upstream [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B);
+the mirror exists so consumers don't need a second pull from
+two repos to assemble the full toolkit (GGUF + safetensors +
+mmproj reference).
 ## Architecture
 | Model | Notes |
 |---|---|
+| [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) | Upstream base, safetensors (this repo mirrors them) |
 | [unsloth/Qwen3.6-27B-GGUF](https://huggingface.co/unsloth/Qwen3.6-27B-GGUF) | Recommended GGUF source |
 | [FoolDev/Janus-35B](https://huggingface.co/FoolDev/Janus-35B) | 35B-A3B MoE sibling. More capacity, more memory pressure. |
 | [Crownelius/Crow-9B-HERETIC-4.6](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6) | 9B starter model when 27B/35B is too heavy |

examples/README.md CHANGED Viewed

@@ -5,7 +5,7 @@ Four minimal entry points. Pick the one that matches how you run models.
 | File | Backend | When to use |
 |---|---|---|
 | `ollama_chat.py` | Ollama HTTP API | You already have `ollama serve` running and the `thanatos-27b` model created from the project `Modelfile`. **Text + tool calling** — vision via Ollama is broken upstream for this arch. |
-| `transformers_quickstart.py` | Hugging Face Transformers | You want to run the upstream safetensors (`Qwen/Qwen3.6-27B`) on GPU, optionally in 4-bit via bitsandbytes. |
 | `llama_cpp_quickstart.py` | llama-cpp-python | You want to invoke a local GGUF directly without a daemon (CI, batch jobs, scripts). Text only. |
 | `llama_cpp_vision.py` | llama-cpp-python + mmproj | **Image input.** Loads a text GGUF + `mmproj-F16.gguf` and answers questions about an image. The only working vision path right now. |

 | File | Backend | When to use |
 |---|---|---|
 | `ollama_chat.py` | Ollama HTTP API | You already have `ollama serve` running and the `thanatos-27b` model created from the project `Modelfile`. **Text + tool calling** — vision via Ollama is broken upstream for this arch. |
+| `transformers_quickstart.py` | Hugging Face Transformers | You want to run the safetensors on GPU (this repo mirrors them from `Qwen/Qwen3.6-27B`), optionally in 4-bit via bitsandbytes. |
 | `llama_cpp_quickstart.py` | llama-cpp-python | You want to invoke a local GGUF directly without a daemon (CI, batch jobs, scripts). Text only. |
 | `llama_cpp_vision.py` | llama-cpp-python + mmproj | **Image input.** Loads a text GGUF + `mmproj-F16.gguf` and answers questions about an image. The only working vision path right now. |

examples/transformers_quickstart.py CHANGED Viewed

@@ -2,11 +2,14 @@
 """
 Thanatos-27B — Hugging Face Transformers quickstart.
-Loads the upstream Qwen 3.6 27B safetensors directly and runs a single
-chat turn using its embedded chat template. Thanatos-27B is a *wrapper*
-around that base, so for the transformers route there is nothing to
-download from this repo — point at Qwen/Qwen3.6-27B and apply the same
-system prompt the Modelfile uses.
 Requirements:
     pip install --upgrade "transformers>=4.45" accelerate sentencepiece bitsandbytes
@@ -36,7 +39,7 @@ except ImportError as e:  # pragma: no cover
     )
-MODEL_ID = "Qwen/Qwen3.6-27B"
 THANATOS_SYSTEM = (
     "You are Thanatos, a precise and capable assistant for reasoning, writing, "

 """
 Thanatos-27B — Hugging Face Transformers quickstart.
+Loads the Qwen 3.6 27B safetensors from this repo (a byte-identical
+mirror of Qwen/Qwen3.6-27B's transformers set) and runs a single
+chat turn using its embedded chat template. Applies the same
+Thanatos system prompt the Modelfile / bridge `system` file uses.
+`MODEL_ID` defaults to "FoolDev/Thanatos-27B" so the safetensors and
+chat template come from this repo in one pull; flip it back to
+"Qwen/Qwen3.6-27B" to source directly from upstream.
 Requirements:
     pip install --upgrade "transformers>=4.45" accelerate sentencepiece bitsandbytes
     )
+MODEL_ID = "FoolDev/Thanatos-27B"
 THANATOS_SYSTEM = (
     "You are Thanatos, a precise and capable assistant for reasoning, writing, "