CUSTOM
CLANKERS.
← Browse all models

ukisai / Model details

Swift1.5-Qwen3.8-Flash-Next

ukisai/Swift1.5-Qwen3.8-Flash-Next

fine-tuned
Download files on Hugging Face ↗

Read the original model card ↗ · Choosing a model

About this model

Swift 1.5 is UkisAI's Qwen3.8-Flash-Next derivative aimed at shorter reasoning traces, coding and extended agent workflows. The creator describes penalizing tokens associated with overthinking, followed by reinforcement learning and further post-training to recover accuracy. Its reported token savings depend on the task and reasoning-effort setting: lower effort also loses accuracy, and the Terminal-Bench comparison uses more mean output tokens despite a lower median. This repository is the BF16 checkpoint; quantized editions are separate releases.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
Qwen/Qwen3.8-Flash-Next
Parameters
180B
Main repository formats
safetensors
License tag
other
Languages
Unknown
Last updated
2026-09-24 · 16:22:00.000 UTC

Community reviews & tips

Source-linked paraphrases of sampled community sources, not independently tested by this directory.

Sample window: to · 2 unique source links. This is a selected sample, not all community discussions.

Small sample: source links are not a count of independent reviewers or evidence of consensus.

Sources checked:

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • fine-tunedsource tag: base_model:finetune:Qwen/Qwen3.8-Flash-Next

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Qwen: Base model: Qwen/Qwen3.8-Flash-Next

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Download sources

ModelScope distribution ↗
  • Distribution checked: ModelScope · 2026-10-24 · 03:14:44 UTC

Distribution links are not independent reviews or runtime compatibility guarantees. Check each source’s exact files and instructions.

Refusal profile

Not yet measured: no GGUF version is available for our runner.

How we measure

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/ukisai-swift1-5-qwen3-8-flash-next/)

HTML

<a href="https://customclankers.com/models/ukisai-swift1-5-qwen3-8-flash-next/">Listed on Custom Clankers</a>

Plain text links only: no image, no script, nothing loaded from this site.

Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Projects that use this model

Public projects whose files name this exact model.

Tools to customize it further

Remove more refusals

  • Heretic ↗ ★ 36,421

    Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.

  • OBLITERATUS ↗ ★ 8,946

    A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.

Fine-tune it on your own data

  • Unsloth ↗ ★ 78,528

    A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.

  • LlamaFactory ↗ ★ 75,713

    Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.

Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,260

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

  • MLX LM ↗ ★ 7,467

    Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.

Merge it with another model

  • mergekit ↗ ★ 7,414

    Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.

Learn the techniques

  • LLM Course ↗ ★ 84,667

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

Compare all tools →

Source provenance

Downloads
2,864
Likes
98
Metadata checked
2026-10-25 · 05:05:23 UTC
First seen in index
2026-10-20 · 21:59:08 UTC
Source revision
0bd4fe22431372cdad1979267d3ab45aa7e6150a

Source-card excerpt

Source model card excerpt: Website • Learn more • GGUF • GSQ-RCO GGUF • Evaluation • Enterprise licensing Swift 1.5 Qwen3.8-Flash-Next Swift 1.5 Qwen3.8-Flash-Next is UkisAI's reasoning-efficient derivative

From ukisai/Swift1.5-Qwen3.8-Flash-Next. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗