SAVRN Model Hub · Comparisons
gemma-4-E2B-it vs gemma-4-E4B-it-uncensored-heretic
Gemma-4-E2B-it has 5.1B parameters and gemma-4-E4B-it-uncensored-heretic has 8B parameters; both are released under Apache License 2.0; at 16-bit, gemma-4-E2B-it needs about 12.3 GB (1x MI300X from $1.85 an hour) and gemma-4-E4B-it-uncensored-heretic about 19.2 GB (1x MI300X from $1.85 an hour).
| Field | gemma-4-E2B-it google/gemma-4-E2B-it | gemma-4-E4B-it-uncensored-heretic llmfan46/gemma-4-E4B-it-uncensored-heretic |
|---|---|---|
| Publisher | LLMfan46 | |
| Task | Any to any | Any to any |
| Modality | Multimodal | Multimodal |
| Parameters, as reported | 5.1B parameters | 8B parameters |
| Architecture | Gemma4ForConditionalGeneration | Gemma4ForConditionalGeneration |
| Library | transformers | transformers |
| Context length | 131,072 tokens | 131,072 tokens |
| Repository size | 10.3 GB | 16.0 GB |
| Artifact formats | safetensors | safetensors |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 12.3 GB | 19.2 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 3.1 GB | 4.8 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 3e22461f65e8 | 446ec370626e |
| Downloads reported by the hub | 3.5M | 310.6k |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
gemma-4-E2B-it
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| ARTPARK-IISc/Vaani-Benchmark-V1.0 | Task Hindi_WERMetric Hindi_WERComparison conditions not established | 19.4 | Not named Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 43.4 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-02 |
| LiquidAI/ifstruct-v1.0 | Task ifstruct_v1Metric ifstruct_v1Comparison conditions not established | 64.85 | Liquid AI — IFStruct v1.0 blog (gemma-4-E2B-it) Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
| MMMU/MMMU_Pro | Task mmmu_pro_visionMetric mmmu_pro_visionComparison conditions not established | 44.2 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-12 |
| MathArena/aime_2026 | Task MathArena/aime_2026Metric MathArena/aime_2026Comparison conditions not established | 37.5 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-03-02 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 60 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-02 |
| llamaindex/ExtractBench | Task longMetric longSetup Pipeline name: gemma4_e2b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 14.58 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task meanMetric meanSetup Pipeline name: gemma4_e2b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 51.85 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task mediumMetric mediumSetup Pipeline name: gemma4_e2b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 28.96 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task shortMetric shortSetup Pipeline name: gemma4_e2b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 63.71 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
SAVRN's Notes on gemma-4-E2B-it
Text, images and audio go in, text comes out, and this instruction-tuned checkpoint runs in 12.3 GB at 16-bit, 6.1 GB at 8-bit, 3.1 GB at 4-bit. On the least expensive card the Index prices for it, a single MI300X at $1.85 an hour on-demand, most of the 192 GB stays free for the 131,072 token window. At 5.1 billion parameters and more than 140 languages, it is sized for one card running multilingual assistants that read pictures and hear speech.
Under Apache 2.0 you can modify, redistribute and sell what you build on it, keeping the license and notice files and stating significant changes, with an express patent grant included. Look at the context figure: the configuration says 131,072 tokens while Google's family description says up to 256K, so confirm which your stack honors. No host prices per million tokens are listed, and its pre-trained base is google/gemma-4-E2B.
Questions
Which is larger, gemma-4-E2B-it or gemma-4-E4B-it-uncensored-heretic?
gemma-4-E4B-it-uncensored-heretic (8B parameters) is larger than gemma-4-E2B-it (5.1B parameters), by the parameter counts their publishers report.
Which is cheaper to run, gemma-4-E2B-it or gemma-4-E4B-it-uncensored-heretic?
At 4-bit, gemma-4-E2B-it fits on 1x MI300X from $1.85 an hour and gemma-4-E4B-it-uncensored-heretic on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use gemma-4-E2B-it commercially?
Yes. gemma-4-E2B-it is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
Can I use gemma-4-E4B-it-uncensored-heretic commercially?
Yes. gemma-4-E4B-it-uncensored-heretic is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.