
Unsloth loader can run Python even with trust disabled
CVE-2026-93348, scored 8.6, is fixed in Unsloth 2026.8.20 and Unsloth Zoo 2026.8.14.
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CVE-2026-93348, scored 8.6, is fixed in Unsloth 2026.8.20 and Unsloth Zoo 2026.8.14.
Flint is a 39.8B MoE model with about 2.5B active parameters, scored by Recursive at 54.9% on Terminal-Bench 2.1.

Unsloth Studio re-checks model code, weights, packages, and tools before running a changed trusted repo.
Unsloth released GGUF weights for Google DeepMind's EmbeddingGemma 2, a 740M multimodal embedding model.

Unsloth Studio executed remote Python when users merely selected a model, letting crafted repos run code on developer machines.

Patched Unsloth Studio flaw let malicious Hugging Face models execute Python code when selected, running with user privileges; users must upgrade to 2026.6.9.

Unsloth patched Studio 2026.6.9 after default remote-code trust let malicious Hugging Face models execute Python on inspection.

Patched Unsloth Studio flaw let malicious AI models run arbitrary Python code on researchers' machines via trust_remote_code during model inspection.
Unsloth published GGUF quantized versions of Qwen-Image-2.1, Alibaba's 7B text-to-image and editing model, using Dynamic 2.0 per-layer precision.
DavidAU releases Qwen3.8-27B-TWIN-TURBO, an uncensored GGUF fine-tune claiming sharply reduced thinking tokens and self-reported benchmark gains.
Quesma benchmarks Qwen3.8 27B quantizations: 4-bit Q4_K_M matches BF16 on key benchmarks while 1-bit collapses to random chance.
Community fine-tune Qwopus3.8-27B-Flash, built on Qwen3.8-27B, cuts agent reasoning latency with 12.8% faster decoding and 80.7% MTP acceptance.
A new Qwen3.8-27B GGUF fine-tune claims ARC-C 735 at 8-bit with thinking tokens cut 2x-10x versus the base model.
Qwen released Qwen3.8-Flash-Next, an experimental 125B-parameter open-weight MoE previewing the Qwen4 architecture, with Unsloth shipping optimized GGUF quants.
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