Nielk38/Qwen3.8-Flash-Next-GGUF-SPLIT overview
Qwen3.8 Flash Next GGUF SPLIT Lossless GGUF re sharding of unsloth/Qwen3.8 Flash Next GGUF https://huggingface.co/unsloth/Qwen3.8 Flash Next GGUF , using the U…
Runs locally from ~358.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00013.gguf | GGUF | Q2_K_XL | 358.1 MB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00002-of-00013.gguf | GGUF | Q2_K_XL | 26.82 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00003-of-00013.gguf | GGUF | Q2_K_XL | 4.43 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00004-of-00013.gguf | GGUF | Q2_K_XL | 4.48 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00005-of-00013.gguf | GGUF | Q2_K_XL | 4.53 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00006-of-00013.gguf | GGUF | Q2_K_XL | 4.32 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00007-of-00013.gguf | GGUF | Q2_K_XL | 4.48 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00008-of-00013.gguf | GGUF | Q2_K_XL | 4.53 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00009-of-00013.gguf | GGUF | Q2_K_XL | 4.31 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00010-of-00013.gguf | GGUF | Q2_K_XL | 4.48 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00011-of-00013.gguf | GGUF | Q2_K_XL | 4.53 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00012-of-00013.gguf | GGUF | Q2_K_XL | 4.32 GB | Download |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00013-of-00013.gguf | GGUF | Q2_K_XL | 1.87 GB | Download |
Model Details
| Model ID | Nielk38/Qwen3.8-Flash-Next-GGUF-SPLIT |
|---|---|
| Author | Nielk38 |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.8-Flash-Next |
| Last modified | 2026-08-26T23:36:51.000Z |
Model README
---
license: apache-2.0
base_model:
- Qwen/Qwen3.8-Flash-Next
pipeline_tag: text-generation
tags:
- gguf
- qwen
- qwen4
- qwen4exp
- unsloth
- imatrix
- moe
- conversational
---
Qwen3.8-Flash-Next-GGUF-SPLIT
Lossless GGUF re-sharding of unsloth/Qwen3.8-Flash-Next-GGUF, using the Unsloth Dynamic UD-Q2_K_XL quantization.
The original quantized tensors are preserved. This is a split, not a requantization.
Included quantization
| Quantization | Total size | Shards | llama.cpp type |
|---|---:|---:|---|
| Qwen3.8-Flash-Next-UD-Q2_K_XL | 78,869,130,144 bytes | 13 | Q2_K - Medium |
| File | Bytes | SHA-256 |
|---|---:|---|
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00013.gguf | 375,531,808 | f478bdd42e2ae59f6e7eed41748b298cd4a82b6e6e3f5523b2998140db55a785 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00002-of-00013.gguf | 28,800,138,432 | 682b0f9aa1b3a395d7c8260bd9743970a7d7ddb09a7ebe7e828f8c0ff9a7211b |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00003-of-00013.gguf | 4,752,442,848 | bd19fdd67776bac4982499574af1b167798683bb63a9c4a8deaf92d20c1913e3 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00004-of-00013.gguf | 4,810,631,520 | 533813dd16ceb8d28ad2f2f2609bd698df994406038869402d480457a571b03e |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00005-of-00013.gguf | 4,862,601,376 | d1e37377a215b0c49f93d4522737149cd443ff6ac41cc922a2e53025997b246c |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00006-of-00013.gguf | 4,637,864,256 | 96bf228245d9145f3adb17f1b496b5bd1d9ef8f6b35210c07737f8251c9aecfe |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00007-of-00013.gguf | 4,810,631,616 | 3fc5534bffe752c241dbda43c7ec0c04d0325af262033cc7abf1f2b26535e159 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00008-of-00013.gguf | 4,868,358,560 | abbca5605a3f6040a33b94938086327f0c4f0ed594e8e33216b2a981b8b0b9b6 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00009-of-00013.gguf | 4,627,091,776 | de3cb71d033e74c64618b3f3de7bbb1144ab6a93534e90ccfa223ad9bf7dcbda |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00010-of-00013.gguf | 4,810,631,616 | bedc57cd1b1426403f42c84c88d9a330b53b4a08621da30151c0aefba8b9fea2 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00011-of-00013.gguf | 4,862,601,408 | 09467d5ec1d05e5afa89bd8828f256fa0bccfade478523892a2d03145f935d0d |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00012-of-00013.gguf | 4,637,864,256 | e8c9fed9407bd14baed359a6d4d91324e9b3f9c2929e60b51c7c78151fb4b232 |
| Qwen3.8-Flash-Next-UD-Q2_K_XL-00013-of-00013.gguf | 2,012,740,672 | 9bfbfc1aa0b2f0e10ed7c88ce8a197665c36c6328e1bf5ec64bdbea777f43546 |
Shard-size limitation
Shard 00002 contains one indivisible 28,800,138,240-byte PLE/n-gram embedding tensor. GGUF split files preserve whole tensors, so this shard cannot be reduced to 4.9 GB without changing the format and breaking standard llama.cpp compatibility. Every other data shard was produced with a 4900M maximum.
Required llama.cpp build
At publication time, this experimental qwen4exp architecture requires llama.cpp PR #27742, as linked by the source repository.
Run with llama.cpp
Download all 13 shards into the same directory:
hf download Nielk38/Qwen3.8-Flash-Next-GGUF-SPLIT \
--include "*.gguf" \
--local-dir ./Qwen3.8-Flash-Next-GGUF-SPLIT
Load only the first shard; llama.cpp discovers the other 12 automatically:
llama-cli \
-m ./Qwen3.8-Flash-Next-GGUF-SPLIT/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00013.gguf \
-ngl auto \
-lm mmap \
-c 2048
For CPU-only execution, add -dev none -ngl 0. The model is larger than 32 GB RAM, so mmap-backed host/SSD paging is required on systems with similar memory capacity.
Provenance and validation
- Source repository:
unsloth/Qwen3.8-Flash-Next-GGUF - Source revision:
8bdc666649440e9bdc97e16f3f75782c98478ff5 - Source shard SHA-256:
- a4f3b21e77353999829f2f767e9ac21ce9c71d29a74f2cc9eda48c9bf23c8b86 (00001-of-00003)
- 2e3bf1ee7d2a04e261e9f342a2d968f696cce5941d082b0e434deb9b1edc12c6 (00002-of-00003)
- ec8c106759fdf4f463039c34c0707718d7d8908d53d892bd4f002e71620803f9 (00003-of-00003)
- Splitter:
llama-gguf-splitfrom llama.cpp build226, commit035e227 - Split commands:
llama-gguf-split --merge \
Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf \
Qwen3.8-Flash-Next-UD-Q2_K_XL.gguf
llama-gguf-split --split --split-max-size 4900M \
Qwen3.8-Flash-Next-UD-Q2_K_XL.gguf \
Qwen3.8-Flash-Next-UD-Q2_K_XL
Validated locally on 2026-08-27 with llama.cpp build 226 (035e227) and an AMD Radeon RX 7900 XTX by loading shard 00001 directly. The prompt What is 2+2? Answer with only the numeral. returned 4.
All 1,224 tensors and 78,858,104,320 logical tensor bytes were read back from the 13 output shards in order. Their logical tensor SHA-256 matches the merged source:
7df6751fb6b8190f2ea6050219e98d157a530c94eb11f568324887e2348dc32b
See SHA256SUMS for machine-readable container checksums.
Run Nielk38/Qwen3.8-Flash-Next-GGUF-SPLIT with guIDE
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