Model: ubitech-edg/mistral-12b-cpt
Author: ubitech-edg
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, causal-lm, continual-pretraining, lora, axolotl, deepspeed, nemo, eu-hpc, conversational, en, dataset:arxiv, dataset:gov, dataset:news, dataset:wikipedia, base_model:mistralai/Mistral-Nemo-Instruct-2407, base_model:adapter:mistralai/Mistral-Nemo-Instruct-2407, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us
Base models (adapter): id: mistralai/Mistral-Nemo-Instruct-2407
Card metadata: language: en
license: apache-2.0
tags: text-generation, causal-lm, continual-pretraining, lora, axolotl, deepspeed, transformers, mistral, nemo, eu-hpc
datasets: arxiv, gov, news, wikipedia
metrics: loss
library_name: transformers
framework: pytorch
base_model: mistralai/Mistral-Nemo-Instruct-2407
model_name: mistral-12b-cpt
pipeline_tag: text-generation
task_categories: text-generation
model_type: AutoModelForCausalLM
inference: parameters: max_new_tokens: 512
temperature: 0.7
top_p: 0.9
trained_on: Leonardo EuroHPC
description: Continual pretraining (CPT) of Mistral 12B Nemo Instruct using Axolotl and DeepSpeed ZeRO-1. Trained on scientific, government, news, and Wikipedia text with LoRA adapters.
Likes: 0 | All-time downloads: 41
Created: 2025-10-19 07:21:46