freakyskittle/gemma-4-31B-it-AL-GGUF overview
Gemma 4 31B — Oxidize AL Quants Oxidize https://github.com/Zapdev labs/oxidize AL family GGUF quants of google/gemma 4 31B it https://huggingface.co/google/gem…
Runs locally from ~12.53 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-31B-it-AL5_XS.gguf | GGUF | GGUF | 12.53 GB | Download |
Model Details
| Model ID | freakyskittle/gemma-4-31B-it-AL-GGUF |
|---|---|
| Author | freakyskittle |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | google/gemma-4-31B-it |
| Last modified | 2026-07-09T22:34:41.000Z |
Model README
---
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
base_model: google/gemma-4-31B-it
tags:
- gguf
- gemma4
- gemma
- oxidize
- al-quant
- text-generation
library_name: gguf
pipeline_tag: text-generation
---
Gemma 4 31B — Oxidize AL Quants
Oxidize AL-family GGUF quants of
Quantized with oxidize-quantize
from Unsloth BF16 source weights (unsloth/gemma-4-31B-it-GGUF) — lossless
requant at the weight level (no quality loss from a prior quant).
Disclaimer
This quant type is experiemental
Files
| File | Type | ~Size | Bits | When to use |
|------|------|-------|------|-------------|
| gemma-4-31B-it-AL5.gguf | AL5 | 17 GB | ~4.5 | Default — same block size as Q4_0, lower RMSE |
What is AL?
Oxidize AL quants are custom ggml types (IDs 240–243) that use **multi-seed
MSE-optimal per-block scales** at the same block layouts as Q4_0 / Q5_0 / Q8_0.
AL5 decodes identically to Q4_0 bitstream layout but encodes with lower
reconstruction error. Implementation:
Quick start — llama.cpp
huggingface-cli download freakyskittle/gemma-4-31B-it-AL-GGUF gemma-4-31B-it-AL5.gguf --local-dir .
./llama-cli -m gemma-4-31B-it-AL5.gguf \
-p "<|turn>user\nHello<turn|>\n<|turn>model\n<|channel>final<|message|>" \
-n 256 --temp 0.7
Quick start — oxidize-cpp (CPU)
git clone https://github.com/Zapdev-labs/oxidize.git && cd oxidize/oxidize-cpp
cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j
./build/oxidize-cpp --model gemma-4-31B-it-AL5.gguf \
--prompt "Hello" --max-tokens 128 --auto
Quick start — oxidize-c (CUDA)
git clone https://github.com/Zapdev-labs/oxidize.git && cd oxidize/oxidize-c
make cuda
./oxidize-c-cuda --model gemma-4-31B-it-AL5.gguf \
--prompt "<|turn>user\nHello<turn|>\n<|turn>model\n" --max-tokens 128
Reproduce these quants
cargo build -p oxidize-quantize --release
./target/release/oxidize-quantize \
--input gemma-4-31B-it-BF16-00001-of-00002.gguf \
--output gemma-4-31B-it-AL5.gguf \
--target AL5 --threads 96
Remote pipeline:
scripts/gemma4_31b_al_remote.sh
Links
- Oxidize: https://github.com/Zapdev-labs/oxidize
- Base model: https://huggingface.co/google/gemma-4-31B-it
- Source BF16 GGUF: https://huggingface.co/unsloth/gemma-4-31B-it-GGUF
License
Apache 2.0 (per Gemma 4 license).
Run freakyskittle/gemma-4-31B-it-AL-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models