ricoz/meam-gemma-4-e4b-it-gguf
AI model by ricoz
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
gemma-4-e4b-it-q4km.gguf is the tutor model the Meam.ai app downloads on iPhones and iPads with 12 GB of memory or more. It's Google's Gemma 4 E4B, unchanged except for three steps: converthftogguf.py at commit 171e8846b4af9766c354064cb776cb34a50f053f, with transformers 5.18.0, as Gemma 4's tokenizer settings need. end of the file, byte for byte, by packages/model-pipeline/gguftensorslast.py. llama.cpp maps the file for the GPU from the first tensor the GPU uses to the last; with that table, which only the CPU reads, at the end, the GPU maps 2.8 GB instead of nearly the whole file. The weights are from revision ee0ef6023621cff504d758262d4e04895a5af4a2. Devices with less…
Read the full model card ↗ · Preview checked 2026-10-08T09:06:16.339Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ricoz/meam-gemma-4-e4b-it-gguf is a task-unspecified model repository published by ricoz on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-08T06:30:39.000Z
- Last modified
- 2026-10-08T06:31:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-E4B-it
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-08T06:40:12.812Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.