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baa-ai/Gemma-4-26B-A4B-it-RAM-18GB-MLX
Gemma-4-26B-A4B-it-RAM-18GB-MLX is a machine learning model from baa-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as gemma.
Mixed-precision quantized version of google/gemma-4-26B-A4B-it optimised by baa.ai using a proprietary Black Sheep AI method.
Downloads · 30 days
115
10% of all-time downloads
All-time downloads
1.2K
Public
Parameters
25.8B
20.7 GB on disk
Likes
1
Public
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.safetensors18.8 GB · 100%
How the weights are stored.
U3224B · 93%
From the Hugging Face model README
Mixed-precision quantized version of google/gemma-4-26B-A4B-it optimised by baa.ai using a proprietary Black Sheep AI method.
| Metric | Value |
|--------|-------|
| Size | 16.5 GB |
| MMLU | 80.02% |
| MMLU vs BF16 | 99.0% of BF16 |
| MMLU vs Uniform 4-bit | +2.14pp |
| Model | Size | MMLU | MMLU % of BF16 |
|-------|------|------|----------------|
| BF16 | 51.6 GB | 80.80% | 100% |
| Uniform 4-bit | ~14 GB | 77.88% | 96.4% |
| RAM 14GB | ~14 GB | 78.27% | 96.9% |
| RAM 18GB | ~18 GB | 80.02% | 99.0% |
| RAM 20GB ★ | ~20 GB | 80.70% | 99.9% |
| RAM 22GB | ~22 GB | 80.41% | 99.5% |
from mlx_lm import load, generate
model, tokenizer = load("baa-ai/Gemma-4-26B-A4B-it-RAM-18GB-MLX")
response = generate(model, tokenizer, prompt="Hello!", max_tokens=256)
print(response)
Quantized by baa.ai
Black Sheep AI builds private AI with the Bounded AI Architecture (BAA): three layers, each bound to something you control, on infrastructure you control. Nothing leaves your boundary.
Ram (Reasoning Layer) — Full-capability frontier models, shrunk to fit smaller GPUs with reasoning kept and certified. They rely strictly on your Data Modules for knowledge, so you swap the model as better ones ship.
Paddock (Knowledge Plane) — Binds your Data Modules directly to the reasoning layer: one per topic, period, person, permission or tenant. Permission, freeze, hand back or delete each one on its own.
Watchman (GRC Layer) — Governance, risk and compliance in a single, complete audit log: every module permission, every bind, every model's provenance. Five certificates before anything goes live.
Shepherd — Takes a frontier model, compresses it into a Ram reasoning model, certifies it with Watchman, binds it to your Paddock, and deploys the Bounded AI Architecture to your infrastructure: your cloud, a Mac Studio, or an air-gapped facility.
Learn more at baa.ai — Private AI for enterprises whose data cannot leave the building.