SpeederX/Qwen3.8-Flash-Next-UD-Q2_K_XL-EM-GGUF
text-generation model by SpeederX
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Model card & documentation
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This is an experimental repack of the UD-Q2KXL GGUF from unsloth/Qwen3.8-Flash-Next-GGUF, derived from Qwen/Qwen3.8-Flash-Next, for Siliang Engine. This repository redistributes modified model material under the Qwen Community License (see LICENSE). Two things were changed relative to the Unsloth UD-Q2KXL source: projections of layer 2 are IQ3XXS, while every other layer uses IQ2XS. Those two tensors (blk.2.ffngateexps.weight, blk.2.ffnupexps.weight) were requantized from the BF16 weights to IQ2XS with Unsloth's importance matrix, so all 48 routed layers share one expert schema. This changes those weights. tensors were rearranged into 48 Siliang expert-major regions. Expert IDs, tokenizer metadata, the chat template, the model architecture, and every other tensor are unchanged. No fine-tuning was performed. Siliang Engine keeps a GPU cache (K) of routed experts. When every routed layer uses the same expert size, all layers can share one K, which bounded prefill and the decode-only K extension need. With the original mixed layer 2,…
Read the full model card ↗ · Preview checked 2026-09-28T08:51:04.127Z
Inside the original model card — Document outline
- Qwen3.8-Flash-Next UD-Q2KXL (single expert schema) - Siliang Expert-Major Repack
- Modification notice
- Why a single expert schema
- Quality cost of the requantized layer
- What the repack changes
- Compatibility
- Quickstart
- Artifact details
- Reproduction
- Validation
- Performance evidence
- License
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Model overview
SpeederX/Qwen3.8-Flash-Next-UD-Q2_K_XL-EM-GGUF is a text-generation model repository published by SpeederX on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-28T06:05:02.000Z
- Last modified
- 2026-09-28T06:33:52.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-Flash-Next
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
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