Model: ubitech-edg/llava-7b-sft
Author: ubitech-edg
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llava, image-to-text, text-generation, causal-lm, supervised-fine-tuning, instruction-tuning, synthetic-qa, lora, axolotl, deepspeed, eu-hpc, conversational, en, dataset:axolotl_deduplicated_synthetic_qa, base_model:llava-hf/llava-1.5-7b-hf, base_model:adapter:llava-hf/llava-1.5-7b-hf, license:llama2, endpoints_compatible, region:us
Base models (adapter): id: llava-hf/llava-1.5-7b-hf
Card metadata: language: en
license: llama2
tags: text-generation, causal-lm, supervised-fine-tuning, instruction-tuning, synthetic-qa, lora, axolotl, deepspeed, transformers, llava, eu-hpc
datasets: axolotl_deduplicated_synthetic_qa
metrics: loss
library_name: transformers
framework: pytorch
base_model: llava-hf/llava-1.5-7b-hf
model_name: llava-7b-sft
pipeline_tag: text-generation
task_categories: text-generation, question-answering
model_type: llava
inference: parameters: max_new_tokens: 512
temperature: 0.7
top_p: 0.9
trained_on: Leonardo EuroHPC
description: Supervised fine-tuning (SFT) of LLaVA 1.5 7B on synthetic QA pairs using Axolotl and DeepSpeed ZeRO-1. The model improves text-based question answering and instruction following while preserving its multimodal capabilities.
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Created: 2025-11-10 10:47:54