Eric Hartford, the author of dolphin models, released dolphin-2.2-yi-34b.
This is one of the earliest community finetunes of the yi-34B.
yi-34B was developed by a Chinese company and they claim sota performance that are on par with gpt-3.5
HF: https://huggingface.co/ehartford/dolphin-2_2-yi-34b
Announcement: https://x.com/erhartford/status/1723940171991663088?s=20
For spicy I use the same one as airoboros 3.1, which I think is llama 2 chat. Have alpaca set in the telegram bot and nothing bad happened.
On larger better models the prompt format isn’t really that serious. If you see it giving you code or extra stuff, you try another one till it does what it’s supposed to.
I am getting nice results in webui using exllama 2 loader and llama 2 prompt. Problem is that webui gives me 21 t/s while when using chat.py from exllama directly I get 28.5 t/s. The difference is too big to make me use webui. I tried matching sampler settings, bos, system prompt and repetition penalty but it still has issues there - it either mixes up the prompt, for example outputting <>, prints out a whole-ass comment section to a story, outputs 30 links to YT out of nowhere and generally still acts a bit like a base model. I can’t really blame exllama v2, because my lora works more predictably. I also can’t blame spicyboros, because it works great in webui. It looks the same with raw, llama and chatml prompt formats. It’s not a big deal since it’s still usable, but it bugs me a bit.