# Instruction fine-tuned model

This is a GGUF format quantized version of the mrfakename/mistral-small-3.1-24b-instruct-2503-hf model, suitable for text generation tasks.

Llama-3.1-Tulu-3.1-8B is a large language model developed by AllenAI, based on the Llama architecture with 8 billion parameters, focusing on text generation tasks.

The GGUF quantized version of Qwen2-7B-Instruct, suitable for local deployment and inference

Nordic language instruction fine-tuned model based on Llama-3-8B, supporting Swedish, Danish, and Norwegian

This is a fusion model based on the Mistral-7B architecture, combining the strengths of Mistral-7B-Instruct and OpenOrca-oasst_top1 models, specializing in multilingual text generation tasks.

GPT-SW3 is a large-scale Nordic language model developed by AI Sweden, supporting text generation tasks in 5 Nordic languages and English.

orca_mini_3b is a text generation model trained on the OpenLLaMa-3B model, utilizing instructions and inputs from the WizardLM, Alpaca, and Dolly-V2 datasets for explanatory fine-tuning, and applying the dataset construction methods from the Orca research paper.

A large language model fine-tuned based on the OpenLlama 7B pre-trained model, trained with the OpenAssistant dataset, supporting English text generation tasks

LaMini-Flan-T5-783M is an instruction-following model fine-tuned on the LaMini-instruction dataset based on google/flan-t5-large, with 783M parameters, belonging to the LaMini-LM series.

A 13B-parameter language model fine-tuned with GPT4 and Alpaca instructions, supporting 4bit quantized inference