Image-Text-to-Text
Transformers
GGUF
qwen36
dense
conversational
multimodal
agent
ollama
imatrix
heretic
uncensored
reasoning
distillation
Instructions to use FoolDev/Thanatos-27B-HERETIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoolDev/Thanatos-27B-HERETIC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="FoolDev/Thanatos-27B-HERETIC") 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-HERETIC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use FoolDev/Thanatos-27B-HERETIC 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 FoolDev/Thanatos-27B-HERETIC:Q4_K_M # Run inference directly in the terminal: llama cli -hf FoolDev/Thanatos-27B-HERETIC:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FoolDev/Thanatos-27B-HERETIC:Q4_K_M # Run inference directly in the terminal: llama cli -hf FoolDev/Thanatos-27B-HERETIC: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-HERETIC:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf FoolDev/Thanatos-27B-HERETIC: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-HERETIC:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf FoolDev/Thanatos-27B-HERETIC:Q4_K_M
Use Docker
docker model run hf.co/FoolDev/Thanatos-27B-HERETIC:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use FoolDev/Thanatos-27B-HERETIC with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FoolDev/Thanatos-27B-HERETIC" # 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-HERETIC", "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-HERETIC:Q4_K_M
- SGLang
How to use FoolDev/Thanatos-27B-HERETIC 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-HERETIC" \ --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-HERETIC", "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-HERETIC" \ --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-HERETIC", "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-HERETIC with Ollama:
ollama run hf.co/FoolDev/Thanatos-27B-HERETIC:Q4_K_M
- Unsloth Studio
How to use FoolDev/Thanatos-27B-HERETIC 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-HERETIC 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-HERETIC 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-HERETIC to start chatting
- Pi
How to use FoolDev/Thanatos-27B-HERETIC with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Thanatos-27B-HERETIC: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-HERETIC:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use FoolDev/Thanatos-27B-HERETIC with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Thanatos-27B-HERETIC: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-HERETIC:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use FoolDev/Thanatos-27B-HERETIC with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Thanatos-27B-HERETIC: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 "FoolDev/Thanatos-27B-HERETIC: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 FoolDev/Thanatos-27B-HERETIC with Docker Model Runner:
docker model run hf.co/FoolDev/Thanatos-27B-HERETIC:Q4_K_M
- Lemonade
How to use FoolDev/Thanatos-27B-HERETIC with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FoolDev/Thanatos-27B-HERETIC:Q4_K_M
Run and chat with the model
lemonade run user.Thanatos-27B-HERETIC-Q4_K_M
List all available models
lemonade list
File size: 6,733 Bytes
7766f0b 7197abd 7766f0b f78bca7 7766f0b 944afcd 7766f0b f78bca7 5c67b08 7766f0b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 | #!/usr/bin/env bash
# Thanatos-27B — repo-local sanity checks.
#
# Runs everything that's cheap and catches a real-world bug we've already hit:
#
# 1. bash -n on every *.sh (catches syntax errors)
# 2. shellcheck on every *.sh, if installed (catches quoting/SC2086 bugs)
# 3. python3 -m pyflakes on every *.py (catches NameError, unused imports)
# 4. python3 -m py_compile on every *.py (catches actual syntax errors)
# 5. grep -E for the dash/dot filename footgun (the one we shipped in 6f2884f
# and had to fix in 82677d0)
# 6. grep -E for the VAR="$(cmd 2>/dev/null | filter)" silent-exit pattern
# under set -e + pipefail (the one we shipped in d87bc64 and fixed in 385ed94)
#
# Exit non-zero on any failure. Designed to run from .git/hooks/pre-commit.
#
# Usage:
# ./scripts/check.sh # one-shot
# ./scripts/install-hooks.sh # install as pre-commit hook
set -euo pipefail
ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
cd "${ROOT}"
red() { printf "\033[31m%s\033[0m\n" "$*"; }
green() { printf "\033[32m%s\033[0m\n" "$*"; }
yellow() { printf "\033[33m%s\033[0m\n" "$*"; }
blue() { printf "\033[34m%s\033[0m\n" "$*"; }
FAIL=0
# ---- collect targets -------------------------------------------------------
# Find every shell script and every python file, ignoring vendored / hidden dirs.
mapfile -t SH_FILES < <(find . -type f -name '*.sh' -not -path './.git/*')
mapfile -t PY_FILES < <(find . -type f -name '*.py' -not -path './.git/*' -not -path '*/__pycache__/*')
blue "[*] checking ${#SH_FILES[@]} shell file(s) and ${#PY_FILES[@]} python file(s)"
# ---- 1. bash -n ------------------------------------------------------------
if (( ${#SH_FILES[@]} )); then
blue "[*] bash -n"
for f in "${SH_FILES[@]}"; do
if ! bash -n "$f" 2>/dev/null; then
red " [FAIL] bash -n $f"
bash -n "$f" || true
FAIL=1
else
echo " [ ok ] $f"
fi
done
fi
# ---- 2. shellcheck (optional) ---------------------------------------------
if command -v shellcheck >/dev/null 2>&1; then
blue "[*] shellcheck"
for f in "${SH_FILES[@]}"; do
if ! shellcheck -S warning "$f"; then
red " [FAIL] shellcheck $f"
FAIL=1
else
echo " [ ok ] $f"
fi
done
else
yellow "[~] shellcheck not installed (skip). Install with: apt install shellcheck"
fi
# ---- 3. pyflakes -----------------------------------------------------------
if (( ${#PY_FILES[@]} )); then
if python3 -c 'import pyflakes' 2>/dev/null; then
blue "[*] pyflakes"
for f in "${PY_FILES[@]}"; do
if ! python3 -m pyflakes "$f"; then
red " [FAIL] pyflakes $f"
FAIL=1
else
echo " [ ok ] $f"
fi
done
else
yellow "[~] pyflakes not installed (skip). Install with: pip install pyflakes"
fi
fi
# ---- 4. py_compile ---------------------------------------------------------
if (( ${#PY_FILES[@]} )); then
blue "[*] python3 -m py_compile"
for f in "${PY_FILES[@]}"; do
if ! python3 -m py_compile "$f" 2>&1; then
red " [FAIL] py_compile $f"
FAIL=1
else
echo " [ ok ] $f"
fi
done
# py_compile leaves __pycache__ artifacts; clean them up.
find . -type d -name __pycache__ -not -path './.git/*' -exec rm -rf {} + 2>/dev/null || true
fi
# ---- 5. footgun: dot-vs-dash filename -------------------------------------
#
# Upstream llmfan46/Qwen3.6-27B-uncensored-heretic-v2-GGUF (and the
# legacy unsloth/Qwen3.6-27B-GGUF) use dashes
# (Qwen3.6-27B-uncensored-heretic-v2-Q4_K_M.gguf,
# Qwen3.6-27B-Q4_K_M.gguf). Earlier commits used the wrong
# dot-separated pattern, which 404s. Block re-introduction.
blue "[*] grep: forbidden Qwen3.6-27B.Q* filename pattern"
if grep -RnE 'Qwen3\.6-27B\.Q[0-9A-Z_]+\.gguf' \
--include='*.sh' --include='*.py' --include='*.md' \
--include='Modelfile*' --include='*.cff' \
--exclude-dir=.git --exclude-dir=__pycache__ \
. ; then
red " [FAIL] found banned dot pattern (use 'Qwen3.6-27B-Q*.gguf')"
FAIL=1
else
echo " [ ok ] no stale dot-pattern matches"
fi
# ---- 6. footgun: VAR="$(cmd 2>/dev/null | filter)" silent-exit pattern -----
#
# Under `set -euo pipefail`, a direct command substitution like
# VAR="$(ollama show "${TAG}" 2>/dev/null | awk ...)"
# silently kills the script when ollama show fails: pipefail
# propagates the non-zero exit through the pipeline, set -e
# aborts on the assignment, and the explicit `[[ -z "${VAR}" ]]`
# check below it never runs. The user sees only
# make: *** [Makefile:N: <target>] Error 1
# with no diagnostic. We shipped this exact bug in
# scripts/heal_hf_pull.sh and only caught it this session by
# running `make heal-hf` against an empty store — see commit
# 385ed94 for the fix recipe: split the assignment with
# if VAR="$(cmd 2>/dev/null)"; then
# VAR2="$(filter <<<"${VAR}")"
# fi
# The `2>/dev/null` is the tell — its presence says "this command
# can fail loudly, we want to suppress the noise" — which is
# exactly the case where set -e + pipefail silently kills.
blue "[*] grep: forbidden VAR=\$(... 2>/dev/null | ...) silent-exit pattern"
if grep -RnE '^\s*[A-Za-z_][A-Za-z0-9_]*=("?)\$\([^)]*2>/dev/null[^|]*\|' \
--include='*.sh' \
--exclude-dir=.git \
scripts/ ; then
red " [FAIL] silent-exit substitution under set -e + pipefail."
red " Rewrite as 'if VAR=\$(cmd 2>/dev/null); then VAR2=\$(filter <<<\"\${VAR}\"); fi'."
red " See commit 385ed94 for the bug we shipped and the fix recipe."
FAIL=1
else
echo " [ ok ] no silent-exit substitution patterns"
fi
# ---- 7. Modelfile <-> bridge files sync -----------------------------------
#
# 'Modelfile' (consumed by 'ollama create -f Modelfile') and the root-level
# 'template' / 'system' / 'params' files (consumed by HF's Ollama bridge,
# which does NOT read Modelfile) must stay in sync. If they drift, hf.co/...
# users and 'make build' users get different behaviour.
if [[ -f "${ROOT}/Modelfile" && -f "${ROOT}/template" \
&& -f "${ROOT}/system" && -f "${ROOT}/params" ]]; then
blue "[*] python: Modelfile <-> bridge files sync"
if ! python3 "${ROOT}/scripts/check_bridge_sync.py"; then
FAIL=1
fi
else
yellow "[~] bridge files missing; skipping sync check"
fi
# ---- result ----------------------------------------------------------------
echo
if (( FAIL )); then
red "[!] FAIL"
exit 1
fi
green "[+] all checks passed"
|