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Upload dashq quantized checkpoint (INT3, g128, scale_zero_dtype=float16, zero-shot avg=70.0)

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Qwen/Qwen3.5-35B-A3B
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+ library_name: transformers
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+ tags:
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+ - dashq
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+ - quantized
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+ - post-training-quantization
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+ ---
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+
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+ # Qwen3.5-35B-A3B-DASHQ-INT3-g128
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+
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+ This repository contains a DASH-Q packed quantized checkpoint for `Qwen/Qwen3.5-35B-A3B`.
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+
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+ DASH-Q checkpoints require the lightweight DASH-Q runtime package for loading. They are not plain Transformers checkpoints because linear layers are stored as `PackedQuantizedLinear` modules.
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+
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+ ## Install
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+
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+ ```bash
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+ pip install git+https://github.com/JaeminK/dashq.git
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+ ```
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+
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+ ## Load
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+
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+ ```python
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+ from dashq import load_quantized
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+
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+ model, tokenizer = load_quantized(
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+ "jkim96/Qwen3.5-35B-A3B-DASHQ-INT3-g128",
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+ device_map="auto",
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+ )
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+ ```
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+
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+ ## Quantization
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+
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+ | Field | Value |
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+ | --- | --- |
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+ | Base model | `Qwen/Qwen3.5-35B-A3B` |
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+ | Bits | `3` |
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+ | Group size | `128` |
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+ | Scale/zero dtype | `float16` |
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+ | Calibration dataset | `wikitext2` |
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+ | Calibration samples | `128` |
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+ | Sequence length | `2048` |
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+ | Original size | `71.9039 GB` |
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+ | Quantized size | `17.4800 GB` |
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+
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+ ## Evaluation
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+
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+ | Metric | Value |
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+ | --- | ---: |
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+ | `wikitext2_ppl` | 7.1423 |
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+ | `zero-shot accuracy avg` | 69.9820 |
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+ | `arc_challenge` | 60.2389 |
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+ | `arc_easy` | 81.2710 |
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+ | `commonsense_qa` | 84.4390 |
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+ | `hellaswag` | 80.4720 |
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+ | `lambada_openai` | 69.3771 |
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+ | `openbookqa` | 43.2000 |
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+ | `piqa` | 82.2633 |
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+ | `truthfulqa_mc2` | 55.1749 |
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+ | `winogrande` | 73.4017 |
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+
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