Swift-Qwen3.8-27B-Uncensored-W4A16 and Swift-Qwen3.8-27B-Uncensored-W4A16-fast Quantization and serving preparation: Copyright 2026 TyroneNel This work incorporates the Swift Contribution, licensed under the Swift Open License v1.0 (see LICENSE): Swift-Qwen3.8-27B, Copyright 2026 UkisAI. https://huggingface.co/ukisai/Swift-Qwen3.8-27b Derivative of Qwen3.8-27B, Copyright 2026 Alibaba Cloud, Apache License 2.0. Provenance chain: 1. Base Model: Qwen/Qwen3.8-27B https://huggingface.co/Qwen/Qwen3.8-27B Copyright 2026 Alibaba Cloud. Licensed under the Apache License, Version 2.0. See LICENSE-APACHE-2.0. 2. Swift Contribution: ukisai/Swift-Qwen3.8-27b https://huggingface.co/ukisai/Swift-Qwen3.8-27b Copyright 2026 UkisAI. Licensed under the Swift Open License v1.0. See LICENSE. A reasoning-efficiency LoRA adapter merged into the Base Model weights (see UkisAI's NOTICE and model card). 3. Uncensoring: d0xin/Swift-Qwen3.8-27B-Uncensored-BF16 https://huggingface.co/d0xin/Swift-Qwen3.8-27B-Uncensored-BF16 A Derivative Work of (2): rank-1 directional residual-stream ablation at layer 38 (131 of 1,199 tensors modified, vision tensors unchanged). Methodology and validation: ABLITERATION.json, STRUCTURAL_VALIDATION.json and INTELLIGENCE_VALIDATION.json in that repository. 4. This work: a Derivative Work of (3). Changes (Apache License 2.0, Section 4(b), and Swift Open License v1.0 change notice): - model-*.safetensors, model_extra_tensors.safetensors, model.safetensors.index.json: the decoder linear layers of (3) are quantized to 4-bit integers (W4A16, group size 128, symmetric) with Intel AutoRound (128 calibration samples x 2048 tokens). The vision tower and the GatedDeltaNet in_proj_a/in_proj_b layers stay BF16. embed_tokens is quantized to int8 (group 128, symmetric). Swift-Qwen3.8-27B-Uncensored-W4A16: lm_head and the MTP module's linear layers are quantized to int8 (group 128, symmetric). Swift-Qwen3.8-27B-Uncensored-W4A16-fast: lm_head and the MTP module's linear layers are quantized to int4 (group 128, symmetric) with GPTQ, calibrated on hidden states captured from this model's own generations. Both: a 40,960-row draft head (mtp.draft_lm_head.*) is sliced from the quantized lm_head for MTP speculative decoding. - config.json, quantization_config.json: quantization metadata added. generation_config.json: identical to (3). - mtp_draft_vocab_ids.pt, draft_vocab_ids.json: added (the token ids of the draft head, counted over this model's own outputs). - chat_template.jinja: two changes to the Qwen3.8 template. (a) Reasoning-effort translation: the OpenAI names "minimal", "high" and "max" map to the template's low / xhigh levels, and an unknown value no longer raises an error. (b) Tool calls whose arguments are a JSON string instead of an object render as one block instead of failing. - README.md: replaced. - tokenizer.json, tokenizer_config.json, preprocessor_config.json, processor_config.json: re-saved from (3) by transformers 5 (the chat template moved to chat_template.jinja); same vocabulary, merges and special tokens. Tools: the syv-ai/HyperQwen pipeline (run_quant.sh, prepare/, drafter/), https://github.com/syv-ai/HyperQwen. Per Section 4(e) of the Swift Open License v1.0, this distribution includes a copy of the Base Model License (LICENSE-APACHE-2.0) next to the Swift Open License v1.0 (LICENSE), because this work incorporates portions of the Base Model. Attribution notices from the NOTICE file of ukisai/Swift-Qwen3.8-27b, reproduced as Section 4(d) of the Swift Open License v1.0 requires: -------------------------------------------------------------------------- Swift-Qwen3.8-27B Copyright 2026 UkisAI UkisAI's contribution (the "Swift Contribution") is licensed under the Swift Open License v1.0. See LICENSE. This model is a Derivative Work of Qwen3.8-27B https://huggingface.co/Qwen/Qwen3.8-27B Copyright 2026 Alibaba Cloud Licensed under the Apache License, Version 2.0. See LICENSE-APACHE-2.0. Changes made by UkisAI (Apache License 2.0, Section 4(b) change notice): - model-*.safetensors, model.safetensors.index.json: model weights were fine-tuned by UkisAI (LoRA adapter trained by UkisAI and merged into the Base Model weights). - generation_config.json: added "min_p": 0 and "repetition_penalty": 1.0. - README.md: replaced. ukisai-banner.png and swift-speed-demo.mp4 added. - All other files (config.json, chat_template.jinja, tokenizer.json, tokenizer_config.json, vocab.json, merges.txt, preprocessor_config.json, video_preprocessor_config.json) are unmodified from Qwen3.8-27B and remain under the Apache License, Version 2.0. --------------------------------------------------------------------------