antirez/qwen3.8-flash-next-gguf overview
Qwen3.8 Flash Next for DwarfStar Self contained GGUFs for DwarfStar https://github.com/antirez/ds4 , with original BF16 n grams read directly from disk. Keep t…
Runs locally from ~137.10 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | antirez/qwen3.8-flash-next-gguf |
|---|---|
| Author | antirez |
| Pipeline | text-generation |
| License | other |
| Base model | Qwen/Qwen3.8-Flash-Next |
| Last modified | 2026-09-14T11:53:57.000Z |
Model README
---
license: other
license_name: qwen-community-license-1.0
license_link: LICENSE
base_model:
- Qwen/Qwen3.8-Flash-Next
tags:
- gguf
- qwen4exp
- text-generation
---
Qwen3.8 Flash Next for DwarfStar
Self-contained GGUFs for DwarfStar, with
original BF16 n-grams read directly from disk. Keep the file on a local SSD.
No n-gram sidecar is needed. MTP weights are included; enable them with --mtp.
Requires DwarfStar's native BF16 n-gram reader. Older versions expecting
--ple cannot load these files.
| File | File size | Main/MTP weights |
| --- | ---: | ---: |
| Qwen3.8-Flash-Next-Q2.gguf | 137.10 GiB | 41.73 GiB |
| Qwen3.8-Flash-Next-Q4.gguf | 165.11 GiB | 69.74 GiB |
Each file contains the same 95.37 GiB BF16 n-gram table. It is not made
resident or quantized. Context and runtime buffers require additional RAM.
The main/MTP tensor bytes come unchanged from Ivan Fioravanti's
Q2 and
Q4 releases.
Q2 has imatrix-calibrated IQ2_XXS gate/up and Q2_K down routed experts,
with the down rows padded from 640 to 768 inputs. Q4 has calibrated Q4_K
gate/up and MXFP4 down. Other tensor formats and MTP weights are unchanged.
The n-grams are copied byte-for-byte from Qwen's original checkpoint at
de4b8e4d43b917e7706784d8bb445c9af86a3540, including its padding rows.
The packer checks the original hash constants and verifies every copied
payload. These are quantized language-model weights, not lossless copies
of the whole original model.
Original model: Qwen. Quantized main/MTP releases: Ivan Fioravanti.
Native n-gram packaging and disk-only integration: Salvatore Sanfilippo / DwarfStar.
The original Qwen Community License is included as LICENSE.
Run antirez/qwen3.8-flash-next-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models