Instructions to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
- Unsloth Studio
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF to start chatting
- Pi
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF: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": "mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF: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 "mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF: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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF: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 mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-heretic-i1-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
IQ3_XX3 and IQ2_M possibly broken / incoherent?
So just to preface this, I've redownloaded IQ3_XX3 twice and I've verified that the sha256 hash matches that in the repo, so it's not the file having been downloaded incorrectly.
I tried running IQ3_XXS over in koboldcpp 1.114.1, and I'm getting incoherent channel spam like this:
<|channel>
<|channel>thought<|channel><|channel><channel|> rest<|channel>thought<|channel>
thought
<|channel>
<|channel>thought<|channel>
<channel|>// samethoughtthoughtthought**<|channel>
thought
<channel|>thought
<channel|><|channel><|channel>thoughtthought<channel|>
<channel|>thought<|channel>thought<|channel>thought<|channel>thoughtthoughtthought
<channel|><|channel>thought<|channel>
<|channel><|channel> umathoughtas own<channel|><|channel> same<|channel>
thoughtthought<|channel>
The channel spam seems to happen regardless of if it's at the beginning of a conversation or midway through one;
I went and downloaded the IQ2_M quant (and I checked, the sha256 hash matches), and got this sorta response when given the prompt 'Write a short story about mice' (when I dropped the temperature all the way down it decided to just repeat a variation of 'NorthNorthmultMultmultNorth'):
kumb),\ persp instantiationorigಕಾಶNorth блаFanNorthNorthmultPatOctmult disput бла अर्Oct instantiationണ്ണPat ShabdNorthNorthmultƠ pattMultmultorigNorthSar бла drowsinessണ്ണ अर्носитmult persp두ണ്ണ duraMultकायाtaitOct💙multOct блаmultmultOctsalaOct graduNorthMult पिट patt甜 небо parenchymaorigNorthELA бла бланоситhausen甜multSar gradumultMultglyphorigNorthNorthNorth бла Sala इसकेmultELAноситноситmultносит sempNorthNorth💙💙Octgosноситmultipat甜淯Mult DamsNorth두multNorthorigورتmult पिटMultಕಾಶ पिटಕಾಶ patt DisputeNorthNorthMultMultoxel perspноситOctNorthNorthOct perspOct disputmult gradu instantiation두носитPat instantiation pattNorth disputноситOctNorth disputNorth disput блаमतिMult Dispute бла kumbOctmultNorthMultносит甜 SarajevoMultNorth пока disputноситipatOct gradu блаmult perspOct甜hausenmultMultNorth Shabdноситmultpettolstm),\multноситMultmultmultOctNorthNorthipatELAhausenносит HollyMultMultണ്ണ semp блаFan!} бланосит блаmult блаipatноситmultNorthNorthmultಕಾಶಕಾಶ блаMultNorth),\North图中 блаNorthноситNorthносит блаorigmult Shabd бла perspNorthಕಾಶ)
I did not have these problems when using a quant higher than IQ3_XX3. I downloaded both IQ3_XS and IQ3_M and both of those models generate coherent output (ie, an actual story about a mouse). IQ3_XXS worked perfectly fine in your gemma-4-31b-it-heretic-ara-i1-GGUF (granted, that one is non-QAT), so it's not that quant-level specifically, but maybe just a result of QAT perhaps making it more sensitive to other quants? Not sure beyond unqualified speculation on my part, but it seems that specifically IQ3_XXS and IQ2_M in this repo are incoherent / 'broken'. I haven't tried any others beyond the four I've mentioned (IQ2_M, IQ3_XXS, IQ3_XS (works), and IQ3_M (works));
While I'm here-- I'd also like to take a moment to thank you (mradermacher) for the sheer quantity of quants you've provided for literally tens-of-thousands of models
I assume... because it's quantization aware training at q4_0, which leads to unexpected behavior at precisions less than 4? while IQ3_XS and IQ3_M are relatively close to 4, Q3_xxs I assume is too little information