Unsloth lists GGUF builds of Recursive's Flint coding model
Flint is a 39.8B MoE model with about 2.5B active parameters, scored by Recursive at 54.9% on Terminal-Bench 2.1.
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- Mentions · 7d0
- Mentions · 30d5
- All mentions12
- First seenAug 26, 2026
- Last mentioned11d ago
Timeline
12 articles · newest first[AINews] TypeSafe/Jev at >$100M ARR, $7.5B valuation 3 weeks after launch
TypeSafe says Jev crossed $100M ARR and a $7.5B valuation three weeks after launch as rivals ship decision models.
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What Happens When a Trusted Model Repo Changes? Unsloth Studio Re-Checks Before It Runs
Unsloth Studio re-checks model code, weights, packages, and tools before running a changed trusted repo.
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I'm not paying $20 for ChatGPT or Claude because a free local LLM does
A writer says a local Qwen model on llama.cpp replaced paid ChatGPT and Claude for everyday tasks.
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unsloth/embeddinggemma-2-GGUF — new model trending #29 on Hugging Face
Unsloth released GGUF weights for Google DeepMind's EmbeddingGemma 2, a 740M multimodal embedding model.
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Unsloth’s model picker had a code-execution problem
Unsloth Studio executed remote Python when users merely selected a model, letting crafted repos run code on developer machines.
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Unsloth Studio RCE Flaw Lets Malicious Hugging Face Models Execute Code
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.
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Unsloth Studio Flaw Turns Routine Model Inspection Into Code Execution
Patched Unsloth Studio flaw let malicious AI models run arbitrary Python code on researchers' machines via trust_remote_code during model inspection.
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unsloth/Qwen-Image-2.1-GGUF — new model trending #30 on Hugging Face
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.
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Shapelearn Qwen 3.8 27B (13.1 GB VRAM)
ByteShape released full ShapeLearn GGUF quants of Qwen 3.8 27B; its GPU-5 IQ4_XS reaches 99.63% of BF16 quality at 13.1 GB VRAM.
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
Quesma benchmarks Qwen3.8 27B quantizations: 4-bit Q4_K_M matches BF16 on key benchmarks while 1-bit collapses to random chance.
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unsloth/Qwen3.8-Flash-Next-GGUF — new model trending #21 on Hugging Face
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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Appears with
- Unslothvendor · 5
- llama.cppproduct · 4
- Hugging Faceorganization · 3
- Unsloth Studioproduct · 2
- Alibabavendor · 2
- Pillar Securityorganization · 2
- OpenAIvendor · 2
- Anthropicvendor · 2
- ShapeLearn GGUFsproduct · 1
- LangChainorganization · 1
- OpenAIorganization · 1
- Qwen3-VL-8Bai model · 1
- Qwenorganization · 1
- Googleorganization · 1
- Anthropicorganization · 1
- Quesmavendor · 1
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.