Dolphin 2.9.1 Mixtral 1x22b 🐬 Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations Discord: https://discord.gg/cognitivecomputations This model is based on Dolphin 2.9 Mixtral 8x22b, and is Apache 2.0 licensed. The base model has 64k context, and the full weight fine tuning was with 16k sequence length. It took 27 hours on 8xH100 provided by Crusoe Cloud. This model was fully fine tuned, targeting all layers. The model is an extracted expert using SLERP and a custom script that we've open sourced. It extracts a single expert which is the combined SLERP of all 8 experts from a Mixtral architecture. We decided to not fully convert to a dense model, for the sake of trying to keep as much of the original model's performance as possible, as this process is already quite surgical and there are a lot of variables to take into account. Dolphin 2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignm…
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