gemma4-quant-regime-study / ENVIRONMENT.md
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v1.0.1 public package + figures + paper PDF (DOI 10.5281/zenodo.21875513)
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Environment manifest — captured 2026-08-10 (JST) during run window

ollama: ollama version is 0.30.6 gpu: NVIDIA GeForce RTX 5070 Ti, 595.84, 16303 MiB kernel: 7.0.0-28-generic python: Python 3.10.14 harness_git: b90d217b0598baa1c4e8db6d7cf828813a0aeaf7 (private working tree; the public harness lives at github.com/mobius-style/mmv → operate-fr-bench)

Model digests (ollama)

gemma4:26b-a4b-it-qat 2dd70431afed 15 GB 32 hours ago
gemma4:12b-it-qat 38044be4f923 7.2 GB 32 hours ago
gemma4:12b 4eb23ef187e2 7.6 GB 2 months ago
gemma4:26b 5571076f3d70 17 GB 2 months ago

Model cards (ollama show)

gemma4:12b

Model architecture gemma4
parameters 11.9B
context length 262144
embedding length 3840
quantization Q4_K_M
requires 0.30.5

gemma4:12b-it-qat

Model architecture gemma4
parameters 11.9B
context length 262144
embedding length 3840
quantization Q4_0
requires 0.30.5

gemma4:26b

Model architecture gemma4
parameters 25.8B
context length 262144
embedding length 2816
quantization Q4_K_M
requires 0.20.0

gemma4:26b-a4b-it-qat

Model architecture gemma4
parameters 25.2B
context length 262144
embedding length 2816
quantization Q4_0
requires 0.30.5

Suite/label hashes

e962ac4f36fbfed1aa2e04093c3bcadbeafaf3817e8a0ee69f5afb9fa8f89883 /operate-fr-bench/data/smoke100.jsonl 901e718b7070dfc2479e1ef6bfd18eabcacdeed12b645e7f3260b395a86a8e0f /operate-fr-bench/data/core500.jsonl e86df675454bdbb9650659f593762951f5125140c7764bca209d6f652ec5bb70 /operate-fr-bench/data/labels/smoke100_route_labels.jsonl 455d54d21eb2b62715cf2eb77f4d3b12ac500b95cae17edf722f858912c462bc /operate-fr-bench/data/labels/core500_route_labels.jsonl