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Filipe Gatti

bitlamas

Models in Library1
Datasets in Library0
Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

Qwen3.8-Flash-Next-Q4_K_XL-DN4

Filipe Gatti

This build is what works best on my 128 GB LPDDR5X AMD Strix Halo (Ryzen AI MAX+ 395, Radeon 8060S) under Windows 11, with llama.cpp on Vulkan. It is my daily driver for agentic work. It is unsloth's UD-Q4KXL with one change: the 48 expert down projections are IQ4NL instead of Q51, quantized from Qwen's original BF16 weights with unsloth's importance matrix. That takes the file from 111.3 GB to 102.5 GB. This repo used to hold DN4, the first version of this file, published 2026-09-05. DN4 made the same 48 tensors by requantizing unsloth's Q51 copies, and DN4B makes them from BF16. Same size, same speed, same memory, and measurably closer to the original model. DN4 is still downloadable from…

Open weights other llama.cpp