Can I run Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated-GGUF on an NVIDIA B300?

Yes

Its Qwen3.8-35B-A3B-Distill.APEX-I-MiniPlus-V2.1-Abliterated file (14.7 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated-GGUF Everything that runs on NVIDIA B300 Get the Qwen3.8-35B-A3B-Distill.APEX-I-MiniPlus-V2.1-Abliterated file on Hugging Face

ollama run hf.co/IsValorum/Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated-GGUF

Files and context on NVIDIA B300

Each file of Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On NVIDIA B300	Context (16-bit)	Context (8-bit)
Qwen3.8-35B-A3B-Distill.APEX-I-MiniPlus-V2.1-Abliterated	14.7 GB	Fits	256K	256K

Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated-GGUF on other hardware

Popular models that run on NVIDIA B300

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.