SAVRN Model Hub · Comparisons
Qwen2.5-7B vs Qwen2.5-Coder-7B-Instruct
Qwen2.5-7B has 7.6B parameters and Qwen2.5-Coder-7B-Instruct has 7.6B parameters; both are released under Apache License 2.0; at 16-bit, Qwen2.5-7B needs about 18.3 GB (1x MI300X from $1.85 an hour) and Qwen2.5-Coder-7B-Instruct about 18.3 GB (1x MI300X from $1.85 an hour).
| Field | Qwen2.5-7B Qwen/Qwen2.5-7B | Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct |
|---|---|---|
| Publisher | Qwen | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 7.6B parameters | 7.6B parameters |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| Library | transformers | transformers |
| Context length | 131,072 tokens | 32,768 tokens |
| Repository size | 15.2 GB | 15.2 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) | 18.3 GB | 18.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 4.6 GB | 4.6 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | d14972939875 | c03e6d358207 |
| Downloads reported by the hub | 706.7k | 2.7M |
| 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.
Qwen2.5-7B
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 45 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
SAVRN's Notes on Qwen2.5-7B
A 131,072-token context window on a 7.6B-parameter text model is the combination to notice. At 16-bit the weights run 15.2 GB and the working footprint 18.3 GB; the cheapest setup we price is one MI300X with 192 GB at $1.85 per hour on-demand, so most of the card sits empty before the first prompt. At 8-bit the footprint is 9.1 GB, at 4-bit 4.6 GB. The spare memory goes to long inputs and batching.
Apache 2.0 allows commercial use, modification and redistribution with the notices kept, so fine-tuning on your own data and shipping the result stays inside the license. Access is open: 14 files, 15.2 GB, safetensors. Check two things. The name carries no Instruct suffix and the publisher ships both base and instruction-tuned releases, so confirm which one your workload needs. And the paper listed as describing it is the Qwen2 technical report, arXiv:2407.10671.
SAVRN's Notes on Qwen2.5-Coder-7B-Instruct
Code is the job here, generation, reasoning and fixing, on the 7B rung of a series spanning 0.5 to 32 billion parameters, trained on 5.5 trillion tokens over Qwen2.5. The 7.6B parameters need 18.3 GB at 16-bit, 9.1 GB at 8-bit and 4.6 GB at 4-bit, any of which fits a 192 GB MI300X at $1.85 per hour. We would never run it alone on that card; pack copies or sessions onto it.
The license is Apache 2.0, commercial use, modification and redistribution included, notices kept, changes stated. It is tuned from Qwen/Qwen2.5-Coder-7B, the base to start from with your own code. Confirm the window your stack honors: the configuration says 32,768 tokens, but arXiv:2309.00071 on YaRN context extension sits among its papers. Then Nscale on the Index, $0.01 in and $0.03 out per million tokens, the rate your card hour must beat before owning wins.
Questions
Which is larger, Qwen2.5-7B or Qwen2.5-Coder-7B-Instruct?
Qwen2.5-7B (7.6B parameters) is larger than Qwen2.5-Coder-7B-Instruct (7.6B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen2.5-7B or Qwen2.5-Coder-7B-Instruct?
At 4-bit, Qwen2.5-7B fits on 1x MI300X from $1.85 an hour and Qwen2.5-Coder-7B-Instruct on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen2.5-7B commercially?
Yes. Qwen2.5-7B 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 Qwen2.5-Coder-7B-Instruct commercially?
Yes. Qwen2.5-Coder-7B-Instruct 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.