Model: martinsu/tildeopen-30b-mu-instruct
Author: martinsu
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, multilingual, chatml, instruction-tuning, response-only-training, conversational, en, de, fr, es, it, pt, nl, pl, lv, et, lt, cs, sk, ro, bg, sl, hr, sv, da, fi, hu, uk, ru, zh, hi, ja, ko, el, no, dataset:HuggingFaceH4/ultrachat_200k, dataset:utter-project/EuroBlocks-SFT-Synthetic-1124, dataset:galileo-ai/ragbench, dataset:martinsu/latvian-wikipedia-qa-gemma3, dataset:yahma/alpaca-cleaned, base_model:TildeAI/TildeOpen-30b, base_model:finetune:TildeAI/TildeOpen-30b, license:cc-by-4.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: TildeAI/TildeOpen-30b
Card metadata: language: en, de, fr, es, it, pt, nl, pl, lv, et, lt, cs, sk, ro, bg, sl, hr, sv, da, fi, hu, uk, ru, zh, hi, ja, ko, el, no
license: cc-by-4.0
library_name: transformers
tags: multilingual, chatml, instruction-tuning, response-only-training
base_model: TildeAI/TildeOpen-30b
datasets: HuggingFaceH4/ultrachat_200k, utter-project/EuroBlocks-SFT-Synthetic-1124, galileo-ai/ragbench, martinsu/latvian-wikipedia-qa-gemma3, yahma/alpaca-cleaned
pipeline_tag: text-generation
model-index: name: TildeOpen-30B-MU-Instruct
results: task: type: text-generation
name: Multilingual QA
dataset: name: EuroBlocks eval split (non-English)
type: utter-project/EuroBlocks-SFT-Synthetic-1124
metrics: name: ROUGE-L
type: rouge-l
value: 0.2583
verified: no, name: BERTScore (XLM-R-large)
type: bertscore
value: 0.7495
verified: no
Likes: 3 | All-time downloads: 160
Created: 2025-12-02 13:06:35