What are the hardware requirements for Mochi?

Mochi requires approximately 58.6 GB of VRAM and supports a context window of 198K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mochi and how large is it?

Mochi is developed by artindnr, a model with 31.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mochi?

Mochi is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mochi by artindnr — VRAM 58.6GB, 198K context

Name: Mochi
Author: artindnr

Mochi is an open-source language model by artindnr. Features: 31.2b LLM, VRAM: 58.6GB, Context: 198K, License: apache-2.0, MoE.

Chain-of-thought Conversational Dataset:unsloth/openmathreason... En Finetuned Glm Glm4 moe lite Math Moe Reasoning Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/artindnr/mochi

Mochi Parameters and Internals

LLM Name	Mochi
Repository 🤗	https://huggingface.co/artindnr/mochi
Model Name	unsloth/GLM-4.7-Flash
Base Model(s)	GLM-4.7-Flash /GLM-4.7-Flash
Model Size	31.2b
Required VRAM	58.6 GB
Updated	2026-08-09
Maintainer	artindnr
Model Type	glm4_moe_lite
Model Files	1.4 GB: 1-of-48 1.3 GB: 2-of-48 1.3 GB: 3-of-48 1.3 GB: 4-of-48 1.3 GB: 5-of-48 1.3 GB: 6-of-48 1.3 GB: 7-of-48 1.3 GB: 8-of-48 1.3 GB: 9-of-48 1.3 GB: 10-of-48 1.3 GB: 11-of-48 1.3 GB: 12-of-48 1.3 GB: 13-of-48 1.3 GB: 14-of-48 1.3 GB: 15-of-48 1.3 GB: 16-of-48 1.3 GB: 17-of-48 1.3 GB: 18-of-48 1.3 GB: 19-of-48 1.3 GB: 20-of-48 1.3 GB: 21-of-48 1.3 GB: 22-of-48 1.3 GB: 23-of-48 1.3 GB: 24-of-48 1.3 GB: 25-of-48 1.3 GB: 26-of-48 1.3 GB: 27-of-48 1.3 GB: 28-of-48 1.3 GB: 29-of-48 1.3 GB: 30-of-48 1.3 GB: 31-of-48 1.3 GB: 32-of-48 1.3 GB: 33-of-48 1.3 GB: 34-of-48 1.3 GB: 35-of-48 1.3 GB: 36-of-48 1.3 GB: 37-of-48 1.3 GB: 38-of-48 1.3 GB: 39-of-48 1.3 GB: 40-of-48 1.3 GB: 41-of-48 1.3 GB: 42-of-48 1.3 GB: 43-of-48 1.3 GB: 44-of-48 1.3 GB: 45-of-48
Supported Languages	en
Model Architecture	Glm4MoeLiteForCausalLM
License	apache-2.0
Context Length	202752
Model Max Length	202752
Vocabulary Size	154880
Torch Data Type	bfloat16

Rank the Mochi capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Mochi

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.7 Flash	198K / 57.3 GB	2187874	1791
GLM 4.7 Flash	198K / 58.6 GB	295368	15
...ihui GLM 4.7 Flash Abliterated	198K / 58.6 GB	1196	84
GLM 4.7 Flash Derestricted	198K / 58.6 GB	156	34

Note: green Score (e.g. "73.2") means that the model is better than artindnr/mochi.