# 7B Parameter Efficiency

This is a language model merged using the mergekit tool through the SCE method, combining multiple 7B-parameter scale models

A 7B-parameter LLaMa model fine-tuned on the Code Alpaca dataset, specializing in code generation tasks

LLaVA-Video-7B-Qwen2-TPO is a video understanding model based on LLaVA-Video-7B-Qwen2 with temporal preference optimization, demonstrating excellent performance across multiple benchmarks.

This model is a hybrid created by merging the Dolphin-2.8 and Hermes-2-Pro 7B-parameter models using the LazyMerge toolkit, based on the Mistral-7B architecture.

Calme-7B is a 7-billion-parameter language model fine-tuned based on Mistral-7B, excelling in generating clear, peaceful, and coherent text.

Percival_01-7b-slerp is a 7B-parameter large language model ranked second on the OPENLLM leaderboard, obtained by merging the liminerity/M7-7b and Gille/StrangeMerges_32-7B-slerp models using the LazyMergekit tool.

This model is created by spherical linear interpolation (slerp) fusion between Mistral-7B instruction-tuned version and Synatra-7B role-playing version, combining both instruction understanding and role-playing capabilities

DPOpenHermes 7B v2 is the second RL fine-tuned model based on OpenHermes-2.5-Mistral-7B, utilizing Direct Preference Optimization (DPO) for reinforcement learning with the Intel/orca_dpo_pairs and allenai/ultrafeedback_binarized_cleaned preference datasets.

SynapseLLM is a 7B-parameter large language model fine-tuned from Mistral by WebraftAI, specializing in code and general Q&A scenarios.

AmberChat is an instruction-following model fine-tuned from LLM360/Amber, belonging to the LLM360 Pebble model series.

A fine-tuned LLama 2 7b language model based on financial datasets, specifically designed for the financial domain, excelling in extracting, understanding, and generating financial-related text.