# Instruction Fine-Tuning Optimization

This model is a GGUF format model converted from the IBM Granite-3.3-8B instruction fine-tuned model, suitable for text generation tasks.

OpenCodeReasoning-Nemotron-7B is a large language model developed based on Qwen2.5-7B-Instruct, focusing on code generation and reasoning tasks, supporting a context length of 32K tokens.

Llama-SEA-LION-v3.5-70B-R is a hybrid-function large language model optimized for Southeast Asian languages, supporting 13 languages with capabilities in complex reasoning and general text generation.

A model fine-tuned based on google/flan-t5-base, specifically designed for the abstractive summarization task of refining scientific abstracts into concise titles.

Qwen2.5-VL-3B-Instruct is a 3B-parameter vision-language model that supports image-to-text generation tasks.

An 8B-parameter large language model based on the Llama-3.1 architecture, offering multiple quantized versions in GGUF format

A post-trained version based on the Qwen/Qwen2.5-14B-Instruct-1M model, using LoRA-8-4-0.0001-cosine-32-16 configuration, trained on train_data_v1.0.

A 1.5B-parameter model fine-tuned for instructions based on Hymba-1.5B-Base, capable of handling complex tasks such as mathematical reasoning, function calling, and role-playing

VideoLLaMA2.1 is an upgraded version of VideoLLaMA2, focusing on enhancing spatiotemporal modeling and audio understanding capabilities in large video-language models.

VideoLLaMA 2 is a multimodal large language model focused on video understanding, equipped with spatiotemporal modeling and audio comprehension capabilities.

Dragonfly is a multimodal vision-language model fine-tuned with instructions based on Llama 3.1, supporting joint understanding and generation of images and text

Mistral-7B-v0.3 is an upgraded large language model based on Mistral-7B-v0.2, with the main improvement being the expansion of the vocabulary to 32,768 tokens.

This is an 8B-parameter model based on the Llama-3 architecture, merged using the mergekit tool, with strong text generation capabilities.

Granite-8B-Code-Instruct-4K is an 8-billion-parameter code instruction model, fine-tuned on various permissible instruction datasets based on Granite-8B-Code-Base-4K, enhancing its ability to follow instructions, including logical reasoning and problem-solving skills.

Granite-3B-Code-Instruct-2K is a 3-billion-parameter model fine-tuned from Granite-3B-Code-Base-2K, with enhanced instruction-following capabilities, particularly excelling in code generation and logical reasoning tasks.

A Turkish large language model based on the Mistral 7B architecture, trained on 5 billion Turkish tokens and fine-tuned with instructions

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

Gemma is a lightweight open model series launched by Google, built on the same technology as Gemini, suitable for various text generation tasks.

Code Llama is a series of code generation and understanding models released by Meta, ranging from 7 billion to 70 billion parameters. This model is the 70 billion parameter instruction fine-tuned version.

CausalLM/14B-DPO-α is a large-scale causal language model supporting Chinese and English text generation tasks, with outstanding performance in MT-Bench evaluations.

FinMA-7B-NLP is a large language model for the financial domain developed by the PIXIU project, specifically designed to understand complex financial terms and concepts, significantly improving performance in downstream financial tasks through natural language instruction fine-tuning.