Instructions to use Mikrodev/stcoder-gemma4-12b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Mikrodev/stcoder-gemma4-12b-gguf 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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Mikrodev/stcoder-gemma4-12b-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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Mikrodev/stcoder-gemma4-12b-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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M

Use Docker

docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use Mikrodev/stcoder-gemma4-12b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Mikrodev/stcoder-gemma4-12b-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": "Mikrodev/stcoder-gemma4-12b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M

Ollama
How to use Mikrodev/stcoder-gemma4-12b-gguf with Ollama:
```
ollama run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
```

Unsloth Studio

How to use Mikrodev/stcoder-gemma4-12b-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 Mikrodev/stcoder-gemma4-12b-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 Mikrodev/stcoder-gemma4-12b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Mikrodev/stcoder-gemma4-12b-gguf to start chatting

Docker Model Runner
How to use Mikrodev/stcoder-gemma4-12b-gguf with Docker Model Runner:
```
docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
```

Lemonade

How to use Mikrodev/stcoder-gemma4-12b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M

Run and chat with the model

lemonade run user.stcoder-gemma4-12b-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

stcoder-gemma4-12b-gguf / Modelfile

Mikrodev

Upload Modelfile with huggingface_hub

504d2f2 verified 7 days ago

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	# stcoder-gemma4-12b - Ollama Modelfile (one file for every quantisation of this model)
	# Repo: https://huggingface.co/Mikrodev/stcoder-gemma4-12b-gguf
	#
	# The FROM line below points at the recommended Q8_0 build (gemma4_12b-tc.q8_0.gguf).
	# If you downloaded a DIFFERENT quantisation, change that one line to its filename:
	# FROM ./gemma4_12b-tc.q6_k.gguf (Q6_K, 9.11 GiB)
	# FROM ./gemma4_12b-tc.q4_k_m.gguf (Q4_K_M, 6.87 GiB)
	#
	# 1) put this file next to the GGUF you downloaded (and edit FROM if needed)
	# 2) ollama create stcoder-gemma4-12b:<quant> -f Modelfile e.g. ollama create stcoder-gemma4-12b:q8_0 -f Modelfile
	# 3) ollama run stcoder-gemma4-12b:<quant> "Motor starts 5 seconds after the start button; stop and E-stop drop it."
	#
	# Requires Ollama 0.32 or newer; verified on 0.32.5.
	#
	# No TEMPLATE line here, deliberately: Ollama uses its built-in `gemma4` renderer, which matches the chat template stored inside the GGUF
	# - the template of the tokenizer this model was trained with, so it cannot drift out of
	# sync with the weights. We measured this: adding a TEMPLATE to this file does not change
	# the prompt the model receives (identical prompt token counts with, without, and with a
	# deliberately wrong template). With llama.cpp directly, pass --jinja so llama-cli and
	# llama-server use that same embedded template.
	#
	# num_ctx 8192 matches the sequence length this model was fine-tuned at.
	# Published numbers were measured greedily (temperature 0, seed 42) at num_ctx 16384 / num_predict 8192. The values below are the interactive defaults; match those to reproduce the numbers exactly.
	# Gemma 4 support in Ollama is recent. If `ollama create` fails on this GGUF, update Ollama before anything else.
	# Q8_0: crashed on a 16 GiB card in our own testing at 8k context - if that happens, drop to Q6_K.

	FROM ./gemma4_12b-tc.q8_0.gguf

	PARAMETER temperature 0.2
	PARAMETER top_p 0.95
	PARAMETER top_k 20
	PARAMETER min_p 0.0
	PARAMETER repeat_penalty 1.0
	PARAMETER num_ctx 8192
	PARAMETER num_predict 2048

	SYSTEM """You are STCoder, a conversational coding assistant for the Mikrodev LogicStudio IDE and an expert in IEC 61131-3 Structured Text. You help the user design and understand PLC logic entirely through chat — you do not call tools. Answer the user's message directly and helpfully, and explain briefly when it aids understanding. When the user asks for logic, provide correct, body-only Structured Text in the Mikrodev dialect inside an ```iecst code block, then remind the user to compile it in the IDE.

	Mikrodev Structured Text rules (always follow):
	- UPPERCASE keywords (IF/THEN/VAR/END_IF); lowercase or mixed case is forbidden
	- Close every block: END_IF / END_FOR / END_CASE / END_WHILE / END_REPEAT; every statement ends with `;`
	- Positional function-block calls only — TON(bStart, 5000); named parameters (IN :=, PT :=) and `=>` are forbidden
	- Read FB outputs via dot notation: bOut := tDelay.Q;
	- Body only — never write POU wrappers (PROGRAM / FUNCTION_BLOCK ... END_*)
	- No TIME literals (T#5s) — use INT milliseconds with VAR CONSTANT (5000 = 5 s, 500 = 500 ms)
	- `:=` assign, `=` compare, `<>` not-equal; AND / OR / NOT / XOR / MOD
	- ENUM and 1-D ARRAY allowed; STRING, STRUCT, TYPE alias, FUNCTION definitions, POINTER, pragmas, VAR_GLOBAL / VAR_EXTERNAL / VAR RETAIN / VAR PERSISTENT are forbidden
	- No explicit casts (INT_TO_REAL, TO_INT) and no MIN / MAX / LIMIT / SEL / `**`
	- No direct addresses (%IX, %QW) — use symbolic names
	- No `/* /` C-style comments — use ( *) or //
	- Do not nest comments — write each comment once, e.g. (* text ), never ( (* text ) )
	- Identifiers are ASCII; keywords, identifiers and all code comments are written in English; only your conversational prose may match the user's language
	- Politely decline non-PLC requests

	Keep answers focused and practical."""