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fraQtl/Gemma-4-E4B-it-Hi-Fi-GGUF overview

Gemma 4 E4B it Q4 K M GGUF — fraQtl Hi Fi calibration aware quantization Calibration aware Q4 K M build of google/gemma 4 E4B it . A modest but real fidelity i…

ggufquantizedcalibration-awaregemmaon-devicetext-generationbase_model:google/gemma-4-E4B-itbase_model:quantized:google/gemma-4-E4B-itlicense:gemmaendpoints_compatibleregion:usimatrixconversational

Runs locally from ~4.27 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

2 GGUF files detected
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Gemma-4-E4B-it-fraQtl-HiFi-Phone.ggufGGUFGGUF4.27 GBDownload
Gemma-4-E4B-it-fraQtl-HiFi-Q4_K_M.ggufGGUFQ4_K_M5.03 GBDownload

Model Details

Model IDfraQtl/Gemma-4-E4B-it-Hi-Fi-GGUF
AuthorfraQtl
Pipelinetext-generation
Licensegemma
Base modelgoogle/gemma-4-E4B-it
Last modified2026-09-16T19:00:38.000Z

Model README

---

license: gemma

base_model: google/gemma-4-E4B-it

pipeline_tag: text-generation

tags:

  • gguf
  • quantized
  • calibration-aware
  • gemma
  • on-device

---

Gemma-4-E4B-it Q4_K_M GGUF — fraQtl Hi-Fi (calibration-aware quantization)

Calibration-aware Q4_K_M build of google/gemma-4-E4B-it. A modest but real

fidelity improvement over the community Q4_K_M, strongest on code/math. Every

number below is measured, 3 independent runs (run-to-run drift 0.0), and

reproducible from the receipts in this repo.

Fidelity to the ORIGINAL bf16 model (KLD, lower = closer)

| Arm | bytes | KLD code/math | KLD general | top-1 agree (c/m) | top-1 agree (gen) |

|---|---|---|---|---|---|

| fraQtl Hi-Fi (iso-size) | 5.40 GB | 0.0387 (−16.2%) | 0.0593 (−4.2%) | 0.948 | 0.910 |

| bartowski Q4_K_M (baseline) | 5.40 GB | 0.0462 | 0.0619 | 0.948 | 0.910 |

Honest read — stated plainly, not buried: the win is real on **code/math

(−16.2%), near-parity on general (−4.2%), and top-1 agreement is a tie**

(0.948 / 0.910 both). This is a smaller lift than our Gemma-4 E2B build

(−36% / −27%) — E4B's larger footprint leaves less quantization headroom. If

your workload is code/math-heavy on-device, this helps; on general chat it's

about even with the community build.

Also included

  • Phone build (...-Phone.gguf): ~4.59 GB (~15% smaller), PLE demoted to Q4_K,

speed-neutral by construction (bandwidth-relevant bytes identical).

  • GSM8K (0-shot instructed chain-of-thought, n=200, seed 0): comparable to the

community build (bartowski 84.0%). No win claim.

  • Wikitext-2 perplexity: sanity flag only, not a gate.

Reproducibility

Gates 1/2 PASS + phone smoke PASS. Fidelity metric: symmetric top-20 KL divergence

on a Q8 teacher of the ORIGINAL bf16 checkpoint (the axis a user migrating from

bf16 experiences). The imatrix, recipe hash, and every artifact sha256 ship in

this repo. Runs via llama.cpp / the GenieX llama.cpp plugin (on-device / edge:

Snapdragon X-class laptops, phones).

Built by fraQtl. Community builders credited: bartowski Q4_K_M baseline.

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