these are past loras, applied to new model. they work because they have similar architecture and 3.8 itself is a further training of previous versions.
What I did was used an H100 NVL and use https://github.com/p-e-w/heretic to uncensor it. I measured the KL divergence and the refusal rate (Refusal rate is the count of refusals over 100 hold out prompts from mlabonne/harmful_behaviors). Check out the full repo and give it a like if you think its cool
- GLM 5.2 - Flux 3 - New Qwen model - New small model leaderboards - Lots of people finetuning smol models. - Some even under 12 year olds clauders are here (was not on my bingo card this year) - ChatGPT's Sol became a lot faster this week - LFM2.5 2.6b - Kimi K3 (though only a few will run it) - New Ling 3.0 Tiny - New video model that is making south park videos? - Deepseek v4 flash being more honest than bigger models - The new model from meta
bench-labs developed **GCTokenizer-v1**, which is a multi-lingual tokenizer Available in four sizes: 32K, 65K, 131K and 262K tokens "S, M, L, XL" It utilizes an encoding scheme which allows it to handle characters in any language around the world
General (multi lingual) Consensus (from multiple model tokenizers consensus) Tokenizer
We included an implementation script too, built like BPE- it can encode arbitrary text, most of the time, efficiently