SAVRN Model Hub · Comparisons
chandra-ocr-2 vs vllm-translategemma-4b-it
Chandra-ocr-2 has 5.3B parameters and vllm-translategemma-4b-it has 5B parameters; chandra-ocr-2 is released under Open RAIL License and vllm-translategemma-4b-it under Gemma Terms of Use; at 16-bit, chandra-ocr-2 needs about 12.7 GB (1x MI300X from $1.85 an hour) and vllm-translategemma-4b-it about 11.9 GB (1x MI300X from $1.85 an hour).
| Field | chandra-ocr-2 datalab-to/chandra-ocr-2 | vllm-translategemma-4b-it Infomaniak-AI/vllm-translategemma-4b-it |
|---|---|---|
| Publisher | Datalab | Infomaniak Network SA |
| Task | Image and text to text | Image and text to text |
| Modality | Image and text | Image and text |
| Parameters, as reported | 5.3B parameters | 5B parameters |
| Architecture | Qwen3_5ForConditionalGeneration | Gemma3ForConditionalGeneration |
| Library | transformers | transformers |
| Context length | 262,144 tokens | 131,072 tokens |
| Repository size | 10.6 GB | 8.6 GB |
| Artifact formats | safetensors | safetensors |
| License | openrail | gemma |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 12.7 GB | 11.9 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 3.2 GB | 3 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | af93b47dba1b | cb3e0b2504f0 |
| Downloads reported by the hub | 2.8M | 743.2k |
| 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.
chandra-ocr-2
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Delores-Lin/MDPBench | Task arMetric arComparison conditions not established | 78.2 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task deMetric deComparison conditions not established | 86.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task digitalMetric digitalComparison conditions not established | 87.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task enMetric enComparison conditions not established | 86.5 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task esMetric esComparison conditions not established | 69.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task frMetric frComparison conditions not established | 70.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task hiMetric hiComparison conditions not established | 81.1 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task idMetric idComparison conditions not established | 84.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task itMetric itComparison conditions not established | 87.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task jpMetric jpComparison conditions not established | 68.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task koMetric koComparison conditions not established | 80.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task latinMetric latinComparison conditions not established | 82.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task nlMetric nlComparison conditions not established | 82.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task non_latinMetric non_latinComparison conditions not established | 76.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task overallMetric overallComparison conditions not established | 79.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task photographedMetric photographedComparison conditions not established | 77.1 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task privateMetric privateComparison conditions not established | 82.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task ptMetric ptComparison conditions not established | 90.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task ruMetric ruComparison conditions not established | 74 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task thMetric thComparison conditions not established | 78.5 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task viMetric viComparison conditions not established | 85.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task zhMetric zhComparison conditions not established | 73.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task zh_tMetric zh_tComparison conditions not established | 76.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| allenai/olmOCR-bench | Task arxiv_mathMetric arxiv_mathComparison conditions not established | 86.9 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task baselineMetric baselineComparison conditions not established | 99.9 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task headers_footersMetric headers_footersComparison conditions not established | 91.4 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task long_tiny_textMetric long_tiny_textComparison conditions not established | 93.7 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task multi_columnMetric multi_columnComparison conditions not established | 82.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task old_scansMetric old_scansComparison conditions not established | 51.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task old_scans_mathMetric old_scans_mathComparison conditions not established | 89.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task overallMetric overallComparison conditions not established | 85.8 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task table_testsMetric table_testsComparison conditions not established | 92.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: chandra2_vllmComparison conditions not established | 65.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: chandra2_vllmComparison conditions not established | 51.2 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: chandra2_vllmComparison conditions not established | 70.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: chandra2_vllmComparison conditions not established | 89.2 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: chandra2_vllmComparison conditions not established | 83.7 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: chandra2_vllmComparison conditions not established | 61.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
SAVRN's Notes on vllm-translategemma-4b-it
Infomaniak Network SA published this, not Google. It is google/translategemma-4b-it with the chat template rewritten so vLLM can take the source and target language codes inline in the message, marked by double arrows, rather than in separate fields. Image and text in, text out, 5 billion parameters, a 131,072-token window with a 1,024-token sliding window. The 16-bit weights are 9.9 GB and need 11.9 GB; 8-bit needs 6.0 GB and 4-bit needs 3.0 GB. The cheapest fit we list is one MI300X with 192 GB at $1.85 an hour.
The Gemma Terms of Use govern it whoever re-hosts the weights: commercial use is allowed provided the Prohibited Use Policy travels with every copy you pass on, so redistribution carries paperwork that an internal deployment does not. Confirm your serving stack honors the modified template, and know that our file holds no evaluations for it and no host prices.
Questions
Which is larger, chandra-ocr-2 or vllm-translategemma-4b-it?
chandra-ocr-2 (5.3B parameters) is larger than vllm-translategemma-4b-it (5B parameters), by the parameter counts their publishers report.
Which is cheaper to run, chandra-ocr-2 or vllm-translategemma-4b-it?
At 4-bit, chandra-ocr-2 fits on 1x MI300X from $1.85 an hour and vllm-translategemma-4b-it on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use chandra-ocr-2 commercially?
Yes, with conditions. chandra-ocr-2 is released under Open RAIL License. Open RAIL licenses permit use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to anyone who receives the model or a derivative.
Can I use vllm-translategemma-4b-it commercially?
Yes, with conditions. vllm-translategemma-4b-it is released under Gemma Terms of Use. Gemma models are released under Google's Gemma Terms of Use, which permit commercial use and redistribution subject to the Gemma Prohibited Use Policy, whose restrictions must be passed on to anyone the model is distributed to.