community Reddit LocalLLaMA 2026-09-30T23:10 正文 thin 0 words

Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)

英文标题:Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)

We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. Victoria (coding and agents) Qwen3.8-Flash-Next cut down by 44% using a paper / technique called REAP: 512 down to 288 per layer. Retrained at 4-bit (NVFP4) afterwards, so it's trained for the for
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We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. Victoria (coding and agents) Qwen3.8-Flash-Next cut down by 44% using a paper / technique called REAP: 512 down to 288 per layer. Retrained at 4-bit (NVFP4) afterwards, so it's trained for the for

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We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. Victoria (coding and agents) Qwen3.8-Flash-Next cut down by 44% using a paper / technique called REAP: 512 down to 288 per layer. Retrained at 4-bit (NVFP4) afterwards, so it's trained for the for