SAVRN Model Hub · Comparisons
dolphin-2.9.1-yi-1.5-34b vs Qwen2.5-32B-Instruct
Dolphin-2.9.1-yi-1.5-34b has 34.4B parameters and Qwen2.5-32B-Instruct has 32.8B parameters; both are released under Apache License 2.0; at 16-bit, dolphin-2.9.1-yi-1.5-34b needs about 82.5 GB (1x MI300X from $1.85 an hour) and Qwen2.5-32B-Instruct about 78.6 GB (1x MI300X from $1.85 an hour).
| Field | dolphin-2.9.1-yi-1.5-34b dphn/dolphin-2.9.1-yi-1.5-34b | Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct |
|---|---|---|
| Publisher | Dolphin | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 34.4B parameters | 32.8B parameters |
| Architecture | LlamaForCausalLM | Qwen2ForCausalLM |
| Library | transformers | transformers |
| Context length | 8,192 tokens | 32,768 tokens |
| Repository size | 68.8 GB | 65.5 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) | 82.5 GB | 78.6 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 20.6 GB | 19.7 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 0141cba238d0 | 5ede1c97bbab |
| Downloads reported by the hub | 4.8M | 2.2M |
| 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.
SAVRN's Notes on dolphin-2.9.1-yi-1.5-34b
Check the context window first on this one: 8,192 tokens, which decides whether your documents fit before memory comes up. The 34.4B parameters need 82.5 GB at 16-bit, 41.3 GB at 8-bit and 20.6 GB at 4-bit, and the cheapest setup the Index lists at every precision is one MI300X with 192 GB at $1.85 an hour on-demand. The weights ship in bfloat16 across 24 files totaling 68.8 GB, so plan the disk before the card.
Apache 2.0 on the listing allows commercial use, modification and redistribution with notices kept and changes stated, and the page records a derivation from 01-ai/Yi-1.5-34B, so read the terms on that base before deploying. The training sets show where the tune was pointed: dolphin-coder, CodeFeedback-Filtered-Instruction, orca-math-word-problems-200k and function-calling-chatml alongside OpenHermes-2.5 and samantha-data. No Index host prices this model by the token, so the $1.85 card is the only price to compare.
Questions
Which is larger, dolphin-2.9.1-yi-1.5-34b or Qwen2.5-32B-Instruct?
dolphin-2.9.1-yi-1.5-34b (34.4B parameters) is larger than Qwen2.5-32B-Instruct (32.8B parameters), by the parameter counts their publishers report.
Which is cheaper to run, dolphin-2.9.1-yi-1.5-34b or Qwen2.5-32B-Instruct?
At 4-bit, dolphin-2.9.1-yi-1.5-34b fits on 1x MI300X from $1.85 an hour and Qwen2.5-32B-Instruct on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use dolphin-2.9.1-yi-1.5-34b commercially?
Yes. dolphin-2.9.1-yi-1.5-34b 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 Qwen2.5-32B-Instruct commercially?
Yes. Qwen2.5-32B-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.