What are the hardware requirements for Jah 5.0?

Jah 5.0 requires approximately 237.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jah 5.0 and how large is it?

Jah 5.0 is developed by RMDWLLC, a model with 321.3b 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 Jah 5.0?

Jah 5.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jah 5.0 by RMDWLLC — VRAM 237.5GB

Name: Jah 5.0
Author: RMDWLLC

Jah 5.0 is an open-source language model by RMDWLLC. Features: 321.3b LLM, VRAM: 237.5GB, License: mit, LLM Explorer Score: 0.27.

Conversational Fp8 Glm5 next Image-text-to-text Jah Mixture-of-experts Private-ai Region:us Rmdw Safetensors Sglang Sharded Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/RMDWLLC/Jah-5.0

Jah 5.0 Parameters and Internals

LLM Name	Jah 5.0
Repository 🤗	https://huggingface.co/RMDWLLC/Jah-5.0
Model Size	321.3b
Required VRAM	237.5 GB
Updated	2026-09-02
Maintainer	RMDWLLC
Model Type	glm5_next
Model Files	5.4 GB: 1-of-62 5.3 GB: 2-of-62 5.4 GB: 3-of-62 5.4 GB: 4-of-62 5.4 GB: 5-of-62 5.4 GB: 6-of-62 5.4 GB: 7-of-62 5.4 GB: 8-of-62 5.4 GB: 9-of-62 5.4 GB: 10-of-62 5.4 GB: 11-of-62 5.4 GB: 12-of-62 5.4 GB: 13-of-62 5.4 GB: 14-of-62 5.4 GB: 15-of-62 5.4 GB: 16-of-62 5.4 GB: 17-of-62 5.4 GB: 18-of-62 5.4 GB: 19-of-62 5.4 GB: 20-of-62 5.4 GB: 21-of-62 5.4 GB: 22-of-62 5.4 GB: 23-of-62 5.4 GB: 24-of-62 5.4 GB: 25-of-62 5.4 GB: 26-of-62 5.4 GB: 27-of-62 5.4 GB: 28-of-62 5.4 GB: 29-of-62 5.4 GB: 30-of-62 5.4 GB: 31-of-62 5.4 GB: 32-of-62 5.4 GB: 33-of-62 5.4 GB: 34-of-62 5.4 GB: 35-of-62 5.4 GB: 36-of-62 5.4 GB: 37-of-62 5.4 GB: 38-of-62 5.4 GB: 39-of-62 5.4 GB: 40-of-62 5.4 GB: 41-of-62 5.4 GB: 42-of-62 5.4 GB: 43-of-62 5.4 GB: 44-of-62
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the Jah 5.0 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 Jah 5.0

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash	0K / 237.5 GB	34	1289
GLM 5.3 Flash BF16	0K / 237.1 GB	24	38
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17
GLM 5.3 Flash	0K / 242.5 GB	1034	15
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	127	2
...Flash Abliterated Experimental	0K / 471.3 GB	69	3
GLM 5.3 Flash W4A16	0K / 73.1 GB	53	1
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	0	2

Note: green Score (e.g. "73.2") means that the model is better than RMDWLLC/Jah-5.0.