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SAVRN Model Hub · Comparisons

dolphin-2.9.1-yi-1.5-34b vs Qwen3.6-35B-A3B-abliterated-v4

Dolphin-2.9.1-yi-1.5-34b has 34.4B parameters and Qwen3.6-35B-A3B-abliterated-v4 has 34.7B 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 Qwen3.6-35B-A3B-abliterated-v4 about 83.2 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field dolphin-2.9.1-yi-1.5-34b
dphn/dolphin-2.9.1-yi-1.5-34b
Qwen3.6-35B-A3B-abliterated-v4
Bahushruth/Qwen3.6-35B-A3B-abliterated-v4
Publisher Dolphin CS
Task Text generation Text generation
Modality Text Text
Parameters, as reported 34.4B parameters 34.7B parameters
Architecture LlamaForCausalLM Qwen3_5MoeForCausalLM
Library transformers transformers
Context length 8,192 tokens 262,144 tokens
Repository size 68.8 GB 69.3 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 83.2 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 20.8 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed 0141cba238d0 1c28f5014d7e
Downloads reported by the hub 4.8M 896.6k
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.

SAVRN's Notes on Qwen3.6-35B-A3B-abliterated-v4

What this release strips out is the refusal behavior of Qwen/Qwen3.6-35B-A3B; the 34.7B parameters, 256 experts with 8 active per token and 262,144-token context all come from that base. At 16-bit the weights are 69.3 GB and the run needs 83.2 GB, a single-card fit on a 192 GB MI300X at $1.85 an hour, with room left for the long-context cache. At 4-bit the need drops to 20.8 GB.

The license is Apache 2.0: commercial use, modification and redistribution, with notices kept and changes stated. The operational consequence of the change is that refusal policy leaves the model and lands in your gateway. Before committing, read the two training sets named on the page, Bahushruth/abliteration-harmful-enriched and mlabonne/harmless_alpaca, and note that no evaluations are reported for this version, so what abliteration did to the rest of the model is yours to measure.

Questions

Which is larger, dolphin-2.9.1-yi-1.5-34b or Qwen3.6-35B-A3B-abliterated-v4?

Qwen3.6-35B-A3B-abliterated-v4 (34.7B parameters) is larger than dolphin-2.9.1-yi-1.5-34b (34.4B parameters), by the parameter counts their publishers report.

Which is cheaper to run, dolphin-2.9.1-yi-1.5-34b or Qwen3.6-35B-A3B-abliterated-v4?

At 4-bit, dolphin-2.9.1-yi-1.5-34b fits on 1x MI300X from $1.85 an hour and Qwen3.6-35B-A3B-abliterated-v4 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 Qwen3.6-35B-A3B-abliterated-v4 commercially?

Yes. Qwen3.6-35B-A3B-abliterated-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.

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