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 | 2.1M |
| Last observed | 2026-09-18 | 2026-10-09 |
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
7.6B parameters, 15.2 GB of safetensors across four shards, 18.3 GB at 16-bit, 9.1 GB at 8-bit, 4.6 GB at 4-bit: the workhorse midpoint of the Qwen2.5 family, with a 131,072-token context and a single-card fit at every precision — one MI300X at $1.85 an hour is the table's floor, an H100 at $1.99 the alternative. It still draws 706.7k downloads a month.
Apache 2.0 permits commercial fine-tuning and redistribution with notices kept. The third-party MMLU-Pro figure on file, 45, is a base-model number. For chat use, reach for Qwen2.5-7B-Instruct; for code, Qwen2.5-Coder-7B at the identical footprint; for embedding-scale economics, look smaller. The 706.7k monthly downloads say most operators already route around this base checkpoint — it is raw material, not a product.
SAVRN's Notes on Qwen2.5-Coder-7B-Instruct
The 7B rung of Qwen's coder series, 7.6B parameters aimed at code generation, reasoning and repair: 18.3 GB at 16-bit, 9.1 GB at 8-bit, 4.6 GB at 4-bit — the 4-bit figure being the operative one, since a single MI300X at $1.85 an hour then carries many concurrent sessions. Renting is priced too: Nscale lists $0.01 in and $0.03 out per million tokens, the lowest per-token rate among the hosted models on this list.
Apache 2.0 permits commercial use, modification and redistribution; the listing derives it from Qwen/Qwen2.5-Coder-7B, the starting point for a tune on private code. The configuration states a 32,768-token window. Weigh the Nscale rate against the card hour before buying hardware — at these token prices, owning wins only at sustained volume. 15.2 GB of safetensors across 14 files, stable since January 2025.
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.