transformers safetensors mistral text-generation conversational autotrain_compatible endpoints_compatible text-generation-inference region:us
CrystalMistral: A Potent Language Model Fine-Tuned on a Curated Blend of Data

Overview

CrystalMistral is a highly refined language model derived from the esteemed Mistral-7B architecture. To unlock its exceptional capabilities, CrystalMistral underwent meticulous fine-tuning on a meticulously curated dataset comprised of:

Evol-Instruct: A rich dataset emphasizing instruction following and task completion, fostering CrystalMistral's ability to accurately execute complex commands.
Airoboros: This extensive dataset is geared towards open-ended dialogue and generation, sharpening CrystalMistral's conversational aptitude and creativity.
OpenOrca: A dataset specializing in code generation and understanding, significantly reinforcing CrystalMistral's programming prowess.
Additional GPT-4 Synthetic Data: Incorporation of curated GPT-4 synthetic data further amplifies CrystalMistral's reasoning abilities and factual knowledge.
Strengths

CrystalMistral exhibits a remarkable command of the following domains:

Instruction Following: Effectively interprets and carries out detailed instructions, demonstrating proficiency in task completion.
Dialogue and Text Generation: Engages in fluid and nuanced conversations, offering creative and compelling text generation capabilities.
Coding: Exhibits advanced understanding of code, capable of generating functional code, translating between languages, and offering explanations.

Future Development

The CrystalMistral project endeavors to:

Expert Fine-Tuning: Explore additional fine-tuning with datasets specializing in specific areas (e.g., scientific literature, legal documents) to create targeted variants of CrystalMistral.
Mixture of Experts (MoE): Transition to a 4x MoE architecture, enabling CrystalMistral to dynamically specialize in distinct tasks, significantly amplifying its efficiency and potential.