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// 74d agoNEWS
Unsloth ends TQ1_0 quant production
Unsloth, the open-source LLM fine-tuning and quantization platform, has announced it will no longer produce TQ1_0 (1.66-bit ternary) GGUF quantizations. The move eliminates the primary way local LLM enthusiasts ran 400B+ models on consumer hardware within 128GB RAM.
// ANALYSIS
Unsloth's UD-TQ1_0 quants were the last practical bridge between frontier-scale MoE models and consumer hardware — their quiet removal closes a door the local LLM community deeply relied on.
- –TQ1_0 was the only format enabling models like Qwen3.5-397B and DeepSeek-R1 671B to fit in 128GB Mac unified memory; no equivalent replacement exists at that size-to-RAM ratio
- –Unsloth gave no detailed explanation — just "we have decided to remove 1-bit models from now on" — with hosting costs for 200GB+ multi-file uploads the most plausible driver
- –Community members have already started preserving quants independently, with a backup of Qwen3.5-397B TQ1_0 uploaded to HuggingFace within hours
- –Unsloth's recommended alternative is UD-Q2_K_XL (2.7-bit), which offers better accuracy but demands meaningfully more RAM
- –Existing TQ1_0 quants remain on HuggingFace; only new releases are affected
// TAGS
unslothllmopen-sourceinferencefine-tuning
DISCOVERED
74d ago
2026-03-15
PUBLISHED
74d ago
2026-03-15
RELEVANCE
6/ 10
AUTHOR
Kahvana
