Atlas

Models

← All models

ChatGLM 6B

Zhipu AI (Z.ai) · 2023-03-14 · 6.2B parameters

ChatGLM-6B is the original open-weight bilingual chat model, marketed as 6.2B parameters, from Zhipu AI and Tsinghua University's KEG lab, publicly released in March 2023. It was pre-trained on approximately one trillion Chinese and English tokens with a 2K context window and aligned for dialogue with supervised fine-tuning and related preference-training methods. The model is based on the General Language Model (GLM) framework.

Benchmark scores

BenchmarkScore
Arena Text — Business, Management & Financial Ops (No Style Control)845
Arena Text — Chinese (No Style Control)1076
Arena Text — Creative Writing (No Style Control)901
Arena Text — English (No Style Control)938
Arena Text — Entertainment, Sports & Media (No Style Control)842
Arena Text — Exclude Ties (No Style Control)662
Arena Text — Exclude Ties (Style Controlled)766
Arena Text — Hard Prompts (No Style Control)901
Arena Text — Hard Prompts English (No Style Control)898
Arena Text — Instruction Following (No Style Control)902
Arena Text — Legal & Government (No Style Control)895
Arena Text — Life, Physical & Social Science (No Style Control)850
Arena Text — Medicine & Healthcare (No Style Control)823
Arena Text — Multi-turn (No Style Control)856
Arena Text — Non-English (No Style Control)905
Arena Text — Non-English (Style Controlled)971
Arena Text — Occupational Mathematical (No Style Control)912
Arena Text — Software & IT Services (No Style Control)889
Arena Text — Writing, Literature & Language (No Style Control)925
LMArena Text Arena Chinese Elo1166
LMArena Text Arena Coding Elo1035
LMArena Text Arena Creative Writing Elo951
LMArena Text Arena Elo995
LMArena Text Arena English Elo1014
LMArena Text Arena Hard Prompts Elo999
LMArena Text Arena Hard Prompts English Elo998
LMArena Text Arena Industry: Writing, Literature & Language Elo981
LMArena Text Arena Instruction Following Elo976
LMArena Text Arena Math Elo977
LMArena Text Arena Multi-turn Elo923
Loading Atlas data…