Instructions to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ", dtype="auto") - llama-cpp-python
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ", filename="MoQ-Quants/MoQ-3.0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ 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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16 # Run inference directly in the terminal: llama cli -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16 # Run inference directly in the terminal: llama cli -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16 # Run inference directly in the terminal: ./llama-cli -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
Use Docker
docker model run hf.co/w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
- LM Studio
- Jan
- Ollama
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Ollama:
ollama run hf.co/w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
- Unsloth Studio
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ 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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ 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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ to start chatting
- Pi
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
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": "w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
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 "w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16" \ --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 w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Docker Model Runner:
docker model run hf.co/w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
- Lemonade
How to use w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull w-ahmad/Gemma-4-12B-it-qat-GGUF-MoQ:BF16
Run and chat with the model
lemonade run user.Gemma-4-12B-it-qat-GGUF-MoQ-BF16
List all available models
lemonade list
| token_embd.weight=IQ4_NL | |
| blk.0.ffn_down.weight=Q4_K | |
| blk.0.ffn_gate.weight=IQ4_XS | |
| blk.0.ffn_up.weight=IQ4_NL | |
| blk.0.attn_k.weight=IQ3_XXS | |
| blk.0.attn_output.weight=IQ3_S | |
| blk.0.attn_q.weight=IQ4_XS | |
| blk.0.attn_v.weight=IQ3_S | |
| blk.1.ffn_down.weight=Q4_K | |
| blk.1.ffn_gate.weight=IQ4_XS | |
| blk.1.ffn_up.weight=IQ4_NL | |
| blk.1.attn_k.weight=IQ3_XXS | |
| blk.1.attn_output.weight=IQ3_S | |
| blk.1.attn_q.weight=IQ4_XS | |
| blk.1.attn_v.weight=IQ3_S | |
| blk.10.ffn_down.weight=Q4_K | |
| blk.10.ffn_gate.weight=IQ4_XS | |
| blk.10.ffn_up.weight=IQ4_NL | |
| blk.10.attn_k.weight=IQ3_XXS | |
| blk.10.attn_output.weight=IQ3_S | |
| blk.10.attn_q.weight=IQ4_XS | |
| blk.10.attn_v.weight=IQ3_S | |
| blk.11.ffn_down.weight=Q4_K | |
| blk.11.ffn_gate.weight=IQ4_XS | |
| blk.11.ffn_up.weight=IQ4_NL | |
| blk.11.attn_k.weight=IQ3_XXS | |
| blk.11.attn_output.weight=IQ3_S | |
| blk.11.attn_q.weight=IQ4_XS | |
| blk.12.ffn_down.weight=Q4_K | |
| blk.12.ffn_gate.weight=IQ4_XS | |
| blk.12.ffn_up.weight=IQ4_NL | |
| blk.12.attn_k.weight=IQ3_XXS | |
| blk.12.attn_output.weight=IQ3_S | |
| blk.12.attn_q.weight=IQ4_XS | |
| blk.12.attn_v.weight=IQ3_S | |
| blk.13.ffn_down.weight=Q4_K | |
| blk.13.ffn_gate.weight=IQ4_XS | |
| blk.13.ffn_up.weight=IQ4_NL | |
| blk.13.attn_k.weight=IQ3_XXS | |
| blk.13.attn_output.weight=IQ3_S | |
| blk.13.attn_q.weight=IQ4_XS | |
| blk.13.attn_v.weight=IQ3_S | |
| blk.14.ffn_down.weight=Q4_K | |
| blk.14.ffn_gate.weight=IQ4_XS | |
| blk.14.ffn_up.weight=IQ4_NL | |
| blk.14.attn_k.weight=IQ3_XXS | |
| blk.14.attn_output.weight=IQ3_S | |
| blk.14.attn_q.weight=IQ4_XS | |
| blk.14.attn_v.weight=IQ3_S | |
| blk.15.ffn_down.weight=Q4_K | |
| blk.15.ffn_gate.weight=IQ4_XS | |
| blk.15.ffn_up.weight=IQ4_NL | |
| blk.15.attn_k.weight=IQ3_XXS | |
| blk.15.attn_output.weight=IQ3_S | |
| blk.15.attn_q.weight=IQ4_XS | |
| blk.15.attn_v.weight=IQ3_S | |
| blk.16.ffn_down.weight=Q4_K | |
| blk.16.ffn_gate.weight=IQ4_XS | |
| blk.16.ffn_up.weight=IQ4_NL | |
| blk.16.attn_k.weight=IQ3_XXS | |
| blk.16.attn_output.weight=IQ3_S | |
| blk.16.attn_q.weight=IQ4_XS | |
| blk.16.attn_v.weight=IQ3_S | |
| blk.17.ffn_down.weight=Q4_K | |
| blk.17.ffn_gate.weight=IQ4_XS | |
| blk.17.ffn_up.weight=IQ4_NL | |
| blk.17.attn_k.weight=IQ3_XXS | |
| blk.17.attn_output.weight=IQ3_S | |
| blk.17.attn_q.weight=IQ4_XS | |
| blk.18.ffn_down.weight=Q4_K | |
| blk.18.ffn_gate.weight=IQ4_XS | |
| blk.18.ffn_up.weight=IQ4_NL | |
| blk.18.attn_k.weight=IQ3_XXS | |
| blk.18.attn_output.weight=IQ3_S | |
| blk.18.attn_q.weight=IQ4_XS | |
| blk.18.attn_v.weight=IQ3_S | |
| blk.19.ffn_down.weight=Q4_K | |
| blk.19.ffn_gate.weight=IQ4_XS | |
| blk.19.ffn_up.weight=IQ4_NL | |
| blk.19.attn_k.weight=IQ3_XXS | |
| blk.19.attn_output.weight=IQ3_S | |
| blk.19.attn_q.weight=IQ4_XS | |
| blk.19.attn_v.weight=IQ3_S | |
| blk.2.ffn_down.weight=Q4_K | |
| blk.2.ffn_gate.weight=IQ4_XS | |
| blk.2.ffn_up.weight=IQ4_NL | |
| blk.2.attn_k.weight=IQ3_XXS | |
| blk.2.attn_output.weight=IQ3_S | |
| blk.2.attn_q.weight=IQ4_XS | |
| blk.2.attn_v.weight=IQ3_S | |
| blk.20.ffn_down.weight=Q4_K | |
| blk.20.ffn_gate.weight=IQ4_XS | |
| blk.20.ffn_up.weight=IQ4_NL | |
| blk.20.attn_k.weight=IQ3_XXS | |
| blk.20.attn_output.weight=IQ3_S | |
| blk.20.attn_q.weight=IQ4_XS | |
| blk.20.attn_v.weight=IQ3_S | |
| blk.21.ffn_down.weight=Q4_K | |
| blk.21.ffn_gate.weight=IQ4_XS | |
| blk.21.ffn_up.weight=IQ4_NL | |
| blk.21.attn_k.weight=IQ3_XXS | |
| blk.21.attn_output.weight=IQ3_S | |
| blk.21.attn_q.weight=IQ4_XS | |
| blk.21.attn_v.weight=IQ3_S | |
| blk.22.ffn_down.weight=Q4_K | |
| blk.22.ffn_gate.weight=IQ4_XS | |
| blk.22.ffn_up.weight=IQ4_NL | |
| blk.22.attn_k.weight=IQ3_XXS | |
| blk.22.attn_output.weight=IQ3_S | |
| blk.22.attn_q.weight=IQ4_XS | |
| blk.22.attn_v.weight=IQ3_S | |
| blk.23.ffn_down.weight=Q4_K | |
| blk.23.ffn_gate.weight=IQ4_XS | |
| blk.23.ffn_up.weight=IQ4_NL | |
| blk.23.attn_k.weight=IQ3_XXS | |
| blk.23.attn_output.weight=IQ3_S | |
| blk.23.attn_q.weight=IQ4_XS | |
| blk.24.ffn_down.weight=Q4_K | |
| blk.24.ffn_gate.weight=IQ4_XS | |
| blk.24.ffn_up.weight=IQ4_NL | |
| blk.24.attn_k.weight=IQ3_XXS | |
| blk.24.attn_output.weight=IQ3_S | |
| blk.24.attn_q.weight=IQ4_XS | |
| blk.24.attn_v.weight=IQ3_S | |
| blk.25.ffn_down.weight=Q4_K | |
| blk.25.ffn_gate.weight=IQ4_XS | |
| blk.25.ffn_up.weight=IQ4_NL | |
| blk.25.attn_k.weight=IQ3_XXS | |
| blk.25.attn_output.weight=IQ3_S | |
| blk.25.attn_q.weight=IQ4_XS | |
| blk.25.attn_v.weight=IQ3_S | |
| blk.26.ffn_down.weight=Q4_K | |
| blk.26.ffn_gate.weight=IQ4_XS | |
| blk.26.ffn_up.weight=IQ4_NL | |
| blk.26.attn_k.weight=IQ3_XXS | |
| blk.26.attn_output.weight=IQ3_S | |
| blk.26.attn_q.weight=IQ4_XS | |
| blk.26.attn_v.weight=IQ3_S | |
| blk.27.ffn_down.weight=Q4_K | |
| blk.27.ffn_gate.weight=IQ4_XS | |
| blk.27.ffn_up.weight=IQ4_NL | |
| blk.27.attn_k.weight=IQ3_XXS | |
| blk.27.attn_output.weight=IQ3_S | |
| blk.27.attn_q.weight=IQ4_XS | |
| blk.27.attn_v.weight=IQ3_S | |
| blk.28.ffn_down.weight=Q4_K | |
| blk.28.ffn_gate.weight=IQ4_XS | |
| blk.28.ffn_up.weight=IQ4_NL | |
| blk.28.attn_k.weight=IQ3_XXS | |
| blk.28.attn_output.weight=IQ3_S | |
| blk.28.attn_q.weight=IQ4_XS | |
| blk.28.attn_v.weight=IQ3_S | |
| blk.29.ffn_down.weight=Q4_K | |
| blk.29.ffn_gate.weight=IQ4_XS | |
| blk.29.ffn_up.weight=IQ4_NL | |
| blk.29.attn_k.weight=IQ3_XXS | |
| blk.29.attn_output.weight=IQ3_S | |
| blk.29.attn_q.weight=IQ4_XS | |
| blk.3.ffn_down.weight=Q4_K | |
| blk.3.ffn_gate.weight=IQ4_XS | |
| blk.3.ffn_up.weight=IQ4_NL | |
| blk.3.attn_k.weight=IQ3_XXS | |
| blk.3.attn_output.weight=IQ3_S | |
| blk.3.attn_q.weight=IQ4_XS | |
| blk.3.attn_v.weight=IQ3_S | |
| blk.30.ffn_down.weight=Q4_K | |
| blk.30.ffn_gate.weight=IQ4_XS | |
| blk.30.ffn_up.weight=IQ4_NL | |
| blk.30.attn_k.weight=IQ3_XXS | |
| blk.30.attn_output.weight=IQ3_S | |
| blk.30.attn_q.weight=IQ4_XS | |
| blk.30.attn_v.weight=IQ3_S | |
| blk.31.ffn_down.weight=Q4_K | |
| blk.31.ffn_gate.weight=IQ4_XS | |
| blk.31.ffn_up.weight=IQ4_NL | |
| blk.31.attn_k.weight=IQ3_XXS | |
| blk.31.attn_output.weight=IQ3_S | |
| blk.31.attn_q.weight=IQ4_XS | |
| blk.31.attn_v.weight=IQ3_S | |
| blk.32.ffn_down.weight=Q4_K | |
| blk.32.ffn_gate.weight=IQ4_XS | |
| blk.32.ffn_up.weight=IQ4_NL | |
| blk.32.attn_k.weight=IQ3_XXS | |
| blk.32.attn_output.weight=IQ3_S | |
| blk.32.attn_q.weight=IQ4_XS | |
| blk.32.attn_v.weight=IQ3_S | |
| blk.33.ffn_down.weight=Q4_K | |
| blk.33.ffn_gate.weight=IQ4_XS | |
| blk.33.ffn_up.weight=IQ4_NL | |
| blk.33.attn_k.weight=IQ3_XXS | |
| blk.33.attn_output.weight=IQ3_S | |
| blk.33.attn_q.weight=IQ4_XS | |
| blk.33.attn_v.weight=IQ3_S | |
| blk.34.ffn_down.weight=Q4_K | |
| blk.34.ffn_gate.weight=IQ4_XS | |
| blk.34.ffn_up.weight=IQ4_NL | |
| blk.34.attn_k.weight=IQ3_XXS | |
| blk.34.attn_output.weight=IQ3_S | |
| blk.34.attn_q.weight=IQ4_XS | |
| blk.34.attn_v.weight=IQ3_S | |
| blk.35.ffn_down.weight=Q4_K | |
| blk.35.ffn_gate.weight=IQ4_XS | |
| blk.35.ffn_up.weight=IQ4_NL | |
| blk.35.attn_k.weight=IQ3_XXS | |
| blk.35.attn_output.weight=IQ3_S | |
| blk.35.attn_q.weight=IQ4_XS | |
| blk.36.ffn_down.weight=Q4_K | |
| blk.36.ffn_gate.weight=IQ4_XS | |
| blk.36.ffn_up.weight=IQ4_NL | |
| blk.36.attn_k.weight=IQ3_XXS | |
| blk.36.attn_output.weight=IQ3_S | |
| blk.36.attn_q.weight=IQ4_XS | |
| blk.36.attn_v.weight=IQ3_S | |
| blk.37.ffn_down.weight=Q4_K | |
| blk.37.ffn_gate.weight=IQ4_XS | |
| blk.37.ffn_up.weight=IQ4_NL | |
| blk.37.attn_k.weight=IQ3_XXS | |
| blk.37.attn_output.weight=IQ3_S | |
| blk.37.attn_q.weight=IQ4_XS | |
| blk.37.attn_v.weight=IQ3_S | |
| blk.38.ffn_down.weight=Q4_K | |
| blk.38.ffn_gate.weight=IQ4_XS | |
| blk.38.ffn_up.weight=IQ4_NL | |
| blk.38.attn_k.weight=IQ3_XXS | |
| blk.38.attn_output.weight=IQ3_S | |
| blk.38.attn_q.weight=IQ4_XS | |
| blk.38.attn_v.weight=IQ3_S | |
| blk.39.ffn_down.weight=Q4_K | |
| blk.39.ffn_gate.weight=IQ4_XS | |
| blk.39.ffn_up.weight=IQ4_NL | |
| blk.39.attn_k.weight=IQ3_XXS | |
| blk.39.attn_output.weight=IQ3_S | |
| blk.39.attn_q.weight=IQ4_XS | |
| blk.39.attn_v.weight=IQ3_S | |
| blk.4.ffn_down.weight=Q4_K | |
| blk.4.ffn_gate.weight=IQ4_XS | |
| blk.4.ffn_up.weight=IQ4_NL | |
| blk.4.attn_k.weight=IQ3_XXS | |
| blk.4.attn_output.weight=IQ3_S | |
| blk.4.attn_q.weight=IQ4_XS | |
| blk.4.attn_v.weight=IQ3_S | |
| blk.40.ffn_down.weight=Q4_K | |
| blk.40.ffn_gate.weight=IQ4_XS | |
| blk.40.ffn_up.weight=IQ4_NL | |
| blk.40.attn_k.weight=IQ3_XXS | |
| blk.40.attn_output.weight=IQ3_S | |
| blk.40.attn_q.weight=IQ4_XS | |
| blk.40.attn_v.weight=IQ3_S | |
| blk.41.ffn_down.weight=Q4_K | |
| blk.41.ffn_gate.weight=IQ4_XS | |
| blk.41.ffn_up.weight=IQ4_NL | |
| blk.41.attn_k.weight=IQ3_XXS | |
| blk.41.attn_output.weight=IQ3_S | |
| blk.41.attn_q.weight=IQ4_XS | |
| blk.42.ffn_down.weight=Q4_K | |
| blk.42.ffn_gate.weight=IQ4_XS | |
| blk.42.ffn_up.weight=IQ4_NL | |
| blk.42.attn_k.weight=IQ3_XXS | |
| blk.42.attn_output.weight=IQ3_S | |
| blk.42.attn_q.weight=IQ4_XS | |
| blk.42.attn_v.weight=IQ3_S | |
| blk.43.ffn_down.weight=Q4_K | |
| blk.43.ffn_gate.weight=IQ4_XS | |
| blk.43.ffn_up.weight=IQ4_NL | |
| blk.43.attn_k.weight=IQ3_XXS | |
| blk.43.attn_output.weight=IQ3_S | |
| blk.43.attn_q.weight=IQ4_XS | |
| blk.43.attn_v.weight=IQ3_S | |
| blk.44.ffn_down.weight=Q4_K | |
| blk.44.ffn_gate.weight=IQ4_XS | |
| blk.44.ffn_up.weight=IQ4_NL | |
| blk.44.attn_k.weight=IQ3_XXS | |
| blk.44.attn_output.weight=IQ3_S | |
| blk.44.attn_q.weight=IQ4_XS | |
| blk.44.attn_v.weight=IQ3_S | |
| blk.45.ffn_down.weight=Q4_K | |
| blk.45.ffn_gate.weight=IQ4_XS | |
| blk.45.ffn_up.weight=IQ4_NL | |
| blk.45.attn_k.weight=IQ3_XXS | |
| blk.45.attn_output.weight=IQ3_S | |
| blk.45.attn_q.weight=IQ4_XS | |
| blk.45.attn_v.weight=IQ3_S | |
| blk.46.ffn_down.weight=Q4_K | |
| blk.46.ffn_gate.weight=IQ4_XS | |
| blk.46.ffn_up.weight=IQ4_NL | |
| blk.46.attn_k.weight=IQ3_XXS | |
| blk.46.attn_output.weight=IQ3_S | |
| blk.46.attn_q.weight=IQ4_XS | |
| blk.46.attn_v.weight=IQ3_S | |
| blk.47.ffn_down.weight=Q4_K | |
| blk.47.ffn_gate.weight=IQ4_XS | |
| blk.47.ffn_up.weight=IQ4_NL | |
| blk.47.attn_k.weight=IQ3_XXS | |
| blk.47.attn_output.weight=IQ3_S | |
| blk.47.attn_q.weight=IQ4_XS | |
| blk.5.ffn_down.weight=Q4_K | |
| blk.5.ffn_gate.weight=IQ4_XS | |
| blk.5.ffn_up.weight=IQ4_NL | |
| blk.5.attn_k.weight=IQ3_XXS | |
| blk.5.attn_output.weight=IQ3_S | |
| blk.5.attn_q.weight=IQ4_XS | |
| blk.6.ffn_down.weight=Q4_K | |
| blk.6.ffn_gate.weight=IQ4_XS | |
| blk.6.ffn_up.weight=IQ4_NL | |
| blk.6.attn_k.weight=IQ3_XXS | |
| blk.6.attn_output.weight=IQ3_S | |
| blk.6.attn_q.weight=IQ4_XS | |
| blk.6.attn_v.weight=IQ3_S | |
| blk.7.ffn_down.weight=Q4_K | |
| blk.7.ffn_gate.weight=IQ4_XS | |
| blk.7.ffn_up.weight=IQ4_NL | |
| blk.7.attn_k.weight=IQ3_XXS | |
| blk.7.attn_output.weight=IQ3_S | |
| blk.7.attn_q.weight=IQ4_XS | |
| blk.7.attn_v.weight=IQ3_S | |
| blk.8.ffn_down.weight=Q4_K | |
| blk.8.ffn_gate.weight=IQ4_XS | |
| blk.8.ffn_up.weight=IQ4_NL | |
| blk.8.attn_k.weight=IQ3_XXS | |
| blk.8.attn_output.weight=IQ3_S | |
| blk.8.attn_q.weight=IQ4_XS | |
| blk.8.attn_v.weight=IQ3_S | |
| blk.9.ffn_down.weight=Q4_K | |
| blk.9.ffn_gate.weight=IQ4_XS | |
| blk.9.ffn_up.weight=IQ4_NL | |
| blk.9.attn_k.weight=IQ3_XXS | |
| blk.9.attn_output.weight=IQ3_S | |
| blk.9.attn_q.weight=IQ4_XS | |
| blk.9.attn_v.weight=IQ3_S | |