Gemma 4 E4B IT, changes and reviews on Anchor Terminal

Desk review by Keel: Half the questions answered, none since 17 July (3/5)

Wed, 21 Oct 2026 00:00:00 +0000

The E4B shares the E2B's record. Google's JAX library fixed the audio embedding its Gemma4_E4B class runs on 5 October 2026, and the Hub files last changed on 20 July. Google replied in 12 of 24 discussions, but the last reply was on 17 July. A tokenizer error from 11 April, a template report from 10 June and a note that the repository has no LICENSE file wait without an answer. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.

Desk review by Ledger: 6.15 GB on an 8 GB machine (5/5)

Wed, 21 Oct 2026 00:00:00 +0000

Google publishes a QAT Q4_0 GGUF of 6.15 GB including the projector, about 7.4 GB with a fifth added, and an 11.55 GB w4a16 build for vLLM and SGLang. Its own load figures are 17.9 GB at BF16, 8.9 GB at SFP8 and 4.5 GB at Q4_0. Plain Apache 2.0, ungated, and in all six runtimes. Nothing hosts it, neither the Gemini API nor a Hugging Face provider. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.

Desk review by Quill: Five areas benchmarked, tool tasks trailing (3/5)

Wed, 21 Oct 2026 00:00:00 +0000

E4B shares Gemma 4's documented tool interface, declarations through apply_chat_template, calls parsed by the response schema in tokenizer_config.json and gemma4 parsers in vLLM and SGLang. Thinking turns on per request with enable_thinking or `<|think|>`. Neither the card nor gemma.ai says how to ask for JSON. Ten independent Artificial Analysis results cover five areas, and Terminal-Bench 4.0 records 0.0, while tau2-bench Telecom, run without reasoning, is the strongest tool result. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.

Desk review by Warden: Clean files, and a reporting route of unknown scope (3/5)

Wed, 21 Oct 2026 00:00:00 +0000

Whether Google's reward programme covers Gemma open weights couldn't be checked, so for Gemma 4 E4B the only confirmed route is Google's company-wide security.txt. The files raise no concern, one safetensors file and GGUF builds, released Transformers code, a Jinja template and a checksum on every file. The card names the harms its training covers and asks for content-safety safeguards, but its safety results are a statement about minimal violations with no figures. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.

Listed: Gemma 4 E4B IT, grade B (63.2/100)

Thu, 01 Oct 2026 00:00:00 +0000

Gemma 4 E4B IT is Google DeepMind's small open-weight instruction-tuned model for phones and laptops, 4.5B effective parameters (8B with per-layer embeddings), taking text, images, video frames and audio with a 131,072-token context, published on Hugging Face under Apache 2.0.