Mistral-7B-Instruct-v0.2
trained with 217K rows of
teknium/openhermes
, in Alpaca format.
Why? Mistral-7B-Instruct-v0.2 has native 32K context and rope theta of 1M. It's not a base model, so I've used the same recipe with different amounts of data to gauge the effects of further finetuning.
Prompt Format
Both the default Mistral-Instruct tags and Alpaca are fine, so either:
Hermes-Instruct-7B-217K huggingface.co is an AI model on huggingface.co that provides Hermes-Instruct-7B-217K's model effect (), which can be used instantly with this lodrick-the-lafted Hermes-Instruct-7B-217K model. huggingface.co supports a free trial of the Hermes-Instruct-7B-217K model, and also provides paid use of the Hermes-Instruct-7B-217K. Support call Hermes-Instruct-7B-217K model through api, including Node.js, Python, http.
Hermes-Instruct-7B-217K huggingface.co is an online trial and call api platform, which integrates Hermes-Instruct-7B-217K's modeling effects, including api services, and provides a free online trial of Hermes-Instruct-7B-217K, you can try Hermes-Instruct-7B-217K online for free by clicking the link below.
lodrick-the-lafted Hermes-Instruct-7B-217K online free url in huggingface.co:
Hermes-Instruct-7B-217K is an open source model from GitHub that offers a free installation service, and any user can find Hermes-Instruct-7B-217K on GitHub to install. At the same time, huggingface.co provides the effect of Hermes-Instruct-7B-217K install, users can directly use Hermes-Instruct-7B-217K installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Hermes-Instruct-7B-217K install url in huggingface.co: