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SAVRN Model Hub · Comparisons

qwen3-4b-base-dapo-v4 vs Qwen3-4B-Instruct-2507

Qwen3-4b-base-dapo-v4 has 4B parameters and Qwen3-4B-Instruct-2507 has 4B parameters; both are released under Apache License 2.0; at 16-bit, qwen3-4b-base-dapo-v4 needs about 9.7 GB (1x MI300X from $1.85 an hour) and Qwen3-4B-Instruct-2507 about 9.7 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field qwen3-4b-base-dapo-v4
ReliquaryForge/qwen3-4b-base-dapo-v4
Qwen3-4B-Instruct-2507
Qwen/Qwen3-4B-Instruct-2507
Publisher Reliquary Qwen
Task Text generation Text generation
Modality Text Text
Parameters, as reported 4B parameters 4B parameters
Architecture Qwen3ForCausalLM Qwen3ForCausalLM
Library transformers transformers
Context length 32,768 tokens 262,144 tokens
Repository size 8.1 GB 8.1 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) 9.7 GB 9.7 GB
Cheapest GPUs at 16-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Memory at 4-bit (weights and margin) 2.4 GB 2.4 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed ff8fc7e2c40e cdbee75f17c0
Downloads reported by the hub 910.6k 4M
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.

Qwen3-4B-Instruct-2507

BenchmarkConditionsResultReported byRevisionDate
Idavidrein/gpqa Task diamondMetric diamondComparison conditions not established 62 Model Card
Reported by a third party
Evaluated revision not stated 2026-01-27
TIGER-Lab/MMLU-Pro Task mmlu_proMetric mmlu_proComparison conditions not established 69.6 Model Card
Reported by a third party
Evaluated revision not stated 2026-02-03

SAVRN's Notes on qwen3-4b-base-dapo-v4

Nothing on the hardware side of this one is hard. At 16-bit it wants 9.7 GB of memory, 8-bit takes 4.8 GB and 4-bit takes 2.4 GB, so the $1.85 an hour MI300X the Index lists as cheapest, with 192 GB, could hold a dozen copies. Four billion parameters and a 32,768 token context put it in the class we run for batch text work, one card serving many streams.

Apache 2.0 permits commercial use, modification and redistribution, and access is open. What a buyer should check is provenance. The name points at Qwen3-4B-Base with a DAPO pass, yet the page's only relation is the Qwen3 technical report, with no derived-from entry and no evaluations. The publisher text reads as the base model's description, not an account of what Reliquary changed. Ask for that account, and pin the revision you test, since the listing was last updated on 2026-09-18.

Questions

Which is larger, qwen3-4b-base-dapo-v4 or Qwen3-4B-Instruct-2507?

qwen3-4b-base-dapo-v4 (4B parameters) is larger than Qwen3-4B-Instruct-2507 (4B parameters), by the parameter counts their publishers report.

Which is cheaper to run, qwen3-4b-base-dapo-v4 or Qwen3-4B-Instruct-2507?

At 4-bit, qwen3-4b-base-dapo-v4 fits on 1x MI300X from $1.85 an hour and Qwen3-4B-Instruct-2507 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use qwen3-4b-base-dapo-v4 commercially?

Yes. qwen3-4b-base-dapo-v4 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 Qwen3-4B-Instruct-2507 commercially?

Yes. Qwen3-4B-Instruct-2507 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.

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