Tele-FLM Technical Report
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Abstract (arXiv)
Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications. However, there is a notable paucity of detailed, open-sourced methodologies on efficiently scaling LLMs beyond 50 billion parameters with minimum trial-and-error cost and computational resources. In this report, we introduce Tele-FLM (aka FLM-2), a 52B open-sourced multilingual large language model that features a stable, efficient pre-training paradigm and enhanced factual judgment capabilities. Tele-FLM demonstrates superior multilingual language modeling abilities, measured by BPB on textual corpus. Besides, in both English and Chinese foundation model evaluation, it is comparable to strong open-sourced models that involve larger pre-training FLOPs, such as Llama2-70B and DeepSeek-67B. In addition to the model weights, we share the core designs, engineering practices, and training details, which we expect to benefit both the academic and industrial communities.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 61 of its 78 references that are in the map. First posted on arXiv 25 Apr 2024.
Builds on
61 of 78 references.
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Citing papers per year: 2024: 3; 2025: 8; 2026: 1.
12 papers.
- 2025FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Trainingcited by 9
- 2025Scaling Diffusion Transformers Efficiently via μPcited by 6
- 2025MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extractioncited by 6
- 2025Emotional Support with LLM-based Empathetic Dialogue Generationcited by 4
- 2025Training Report of TeleChat3-MoEcited by 4
- 2024Sketch: A Toolkit for Streamlining LLM Operationscited by 3
- 2025TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answeringcited by 3
- 2024Open-domain Implicit Format Control for Large Language Model Generationcited by 2
- 2024Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Modelscited by 2
- 2025TableReasoner: Advancing Table Reasoning Framework with Large Language Modelscited by 2
- 2025Multi-Intent Spoken Language Understanding: Methods, Trends, and Challengescited by 0
- 2026Multi-Objective Exploration and Preference Optimization via Mutual Informationcited by 0
- 2026Multi-Objective Exploration and Preference Optimization via Mutual Information1 Jul 2026
- 2025Training Report of TeleChat3-MoE30 Dec 2025
- 2025Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges12 Dec 2025
- 2025MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction11 Sep 2025
- 2025FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Training2 Sep 2025
- 2025TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering1 Sep 2025
- 2025Emotional Support with LLM-based Empathetic Dialogue Generation17 Jul 2025
- 2025TableReasoner: Advancing Table Reasoning Framework with Large Language Models10 Jul 2025
- 2025Scaling Diffusion Transformers Efficiently via μP21 May 2025
- 2024Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models15 Oct 2024
- 2024Sketch: A Toolkit for Streamlining LLM Operations5 Sep 2024
- 2024Open-domain Implicit Format Control for Large Language Model Generation8 Aug 2024