maccelerate/Qwen3.8-27B-UD3-Q3_K_XL-MLX
text-generation model by maccelerate
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Model card & documentation
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Native MLX affine re-encoding of the official Unsloth Dynamic v3.0 Q3KXL per-tensor allocation for Qwen3.8-27B. This is a 13.63 GB, text-only MLX model with 3.991 effective bits per quantized weight. It retains the model's inline MTP head and is intended for mlx-serve on Apple Silicon. Genuine Unsloth Dynamic v3.0: maccelerate reads the widths from the official unsloth/Qwen3.8-27B-GGUF UD-Q3KXL checkpoint's own ggml type table. It does not use an older Dynamic 2.0 class map. The upstream GGUF determines the bit width of each tensor. maccelerate reads that allocation and quantizes the corresponding clean bf16 Qwen weights onto MLX's affine format at the same width. This model therefore has the same per-tensor bit-width allocation as the source GGUF, re-encoded for MLX. It is not a lossless GGUF conversion and does not claim numerical parity with llama.cpp's K-quant codebooks. Widths are not a house preset: each tensor retains the width selected by the…
Read the full model card ↗ · Preview checked 2026-09-20T08:07:42.237Z
Inside the original model card — Document outline
- Qwen3.8-27B-UD3-Q3KXL-MLX
- What this model is
- Allocation
- Serving
- Apple Silicon requirements
- Run it with mlx-serve
- Runtime compatibility
- Reproducibility and generation code
- Provenance
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
maccelerate/Qwen3.8-27B-UD3-Q3_K_XL-MLX is a text-generation model repository published by maccelerate on Hugging Face. The source reports the mlx 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
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 27,320,697,856
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-20T06:15:46.000Z
- Last modified
- 2026-09-20T06:18:39.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-27B
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 2026-09-20T06:35:52.874Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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