# unsloth v0.1.804-beta — Qwen3.8-Flash-Next + GLM-5.3-Flash

- Product: unsloth (https://whatsnew.fyi/product/unsloth)
- Vendor: unslothai
- Date: 2026-08-27
- Version: v0.1.804-beta
- Original notes: https://github.com/unslothai/unsloth/releases/tag/v0.1.804-beta
- Permalink: https://whatsnew.fyi/product/unsloth/releases/v0.1.804-beta
- Labels: Pre-release

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **added** — Support for running Qwen3.8-Flash-Next locally on 75GB RAM
- **added** — Support for running GLM-5.3-Flash locally on 102GB total RAM and VRAM
- **added** — Local chats resume after a disconnect instead of losing the reply
- **added** — Export chats as JSONL for backups or use in other tools
- **added** — Search and download embedding models directly from Hugging Face
- **changed** — Inference speed improved 5x for RAM offloading
- **changed** — Large GGUFs automatically split across GPU and system RAM
- **changed** — Smarter GPU and RAM offloading to run larger models with less setup
- **changed** — Vision chats now handle multiple images properly
- **changed** — Text-to-speech models only load when actually used
- **changed** — Model settings stay saved when switching chats
- **changed** — Collapse tool activity by default for cleaner agent chats
- **changed** — Deep Research keeps going when a provider asks it to slow down
- **changed** — Model reasoning defaults now followed in CLI start command
- **fixed** — Infinite repeated compaction now works
- **fixed** — Linux voice recording fixed
- **fixed** — NVIDIA and Wayland interface freezes fixed
- **fixed** — AMD model loading crashes fixed
- **fixed** — llama.cpp models now load from Windows profiles with non-English characters
- **fixed** — Non-English web links now work properly as chat sources

Qwen3.8-Flash-Next and GLM-5.3-Flash can now run locally in Unsloth!

* Run Qwen3.8-Flash on 75GB RAM, GLM-5.3-Flash on 102GB RAM+VRAM
* 5x Faster inference for RAM offloading
* "Infinite" repeated compaction now works
* 100+ chat, reliability and performance improvements

Qwen Guide: https://unsloth.ai/docs/models/qwen3.8-next  
Qwen GGUFs: https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF  
GLM Guide: https://unsloth.ai/docs/models/glm-5.3-flash  
GLM GGUFs: https://huggingface.co/unsloth/GLM-5.3-Flash-GGUF

##### Highlights

- **Qwen3.8-Flash-Next on 75GB RAM**
- **GLM-5.3-Flash on 102GB total memory**
- **Smarter GPU + RAM offloading** - run larger models with less setup
- **Chats recover after disconnects** instead of losing the reply
- **See what fits before loading** with clearer memory estimates

##### Qwen3.8-Flash-Next

Qwen3.8-Flash-Next is a new 125B multimodal reasoning model and an early preview of Qwen4's architecture.

- The 1-bit Unsloth Dynamic GGUF runs on 75GB RAM or unified memory.
- It's 79% smaller than BF16 while retaining 80% top-1 accuracy.
- Chat with text and images using up to 262K context.
- Switch between None, Low, Medium and Extra High reasoning.
- Preserved Thinking keeps reasoning consistent across longer chats.

##### GLM-5.3-Flash

GLM-5.3-Flash is Z.ai's new 320B multimodal model, with only 18B parameters active at a time.

- Run the 1-bit model on 102GB of combined RAM + VRAM.
- Chat with text, images and long documents using up to 1M context.
- Switch between Low, High and Max reasoning.
- Stronger coding, agent and vision performance than GLM-5.2.
- Recommended settings are applied automatically in Unsloth.

##### Chat + tools

- Local chats resume after a disconnect instead of losing the reply.
- Deep Research keeps going when a provider asks it to slow down.
- Vision chats now handle multiple images properly.
- Images returned by MCP tools appear directly in chat.
- Export chats as JSONL for backups or use in other tools.
- Adjust Auto Compaction for longer chats, or turn it off.
- Collapse tool activity by default for cleaner agent chats.

##### Models + performance

- Large GGUFs automatically split across GPU and system RAM.
- See estimated memory usage before loading a model.
- View VRAM usage directly from your downloaded models.
- Model settings stay saved when switching chats.
- Search and download embedding models directly from Hugging Face.
- Text-to-speech models only load when you actually use them.

##### Desktop + reliability

- Linux voice recording fixed.
- NVIDIA + Wayland interface freezes fixed.
- AMD model loading crashes fixed.
- llama.cpp models now load from Windows profiles with non-English characters.
- Non-English web links now work properly as chat sources.
- Desktop download links always point to the latest stable release.

##### What's Changed
* Bump install.sh / install.ps1 pin to unsloth>=2026.8.21 by @danielhanchen in https://github.com/unslothai/unsloth/pull/9699
* fix(studio): resolve PowerShell by absolute path in the update gate by @yzxcj797 in https://github.com/unslothai/unsloth/pull/9452
* Prevent shared preview loads from evicting the active Studio model by @NilayYadav in https://github.com/unslothai/unsloth/pull/7104
* studio: harden lockfile audit followups for #5604 by @danielhanchen in https://github.com/unslothai/unsloth/pull/5695
* Fix Linux voice recording by capturing raw PCM where WebKitGTK's MediaRecorder produces no audio by @Fizza-Mukhtar in https://github.com/unslothai/unsloth/pull/9564
* Studio: take remend 1.3.1, which stops repairing markdown that is already complete by @danielhanchen in https://github.com/unslothai/unsloth/pull/9667
* CLI: follow model reasoning default in unsloth start by @shimmyshimmer in https://github.com/unslothai/unsloth/pull/9733
* Name the encoding when the poll probe writes its artifact by @danielhanchen in https://github.co

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