What are the hardware requirements for Lumikabra 123B V0.4?

Lumikabra 123B V0.4 requires approximately 216.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lumikabra 123B V0.4 and how large is it?

Lumikabra 123B V0.4 is developed by schnapper79, a model with 123b 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 Lumikabra 123B V0.4?

Lumikabra 123B V0.4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lumikabra 123B V0.4 by schnapper79 — VRAM 216.7GB, 128K context

Name: Lumikabra 123B V0.4
Author: schnapper79

Lumikabra 123B V0.4 is an open-source language model by schnapper79. Features: 123b LLM, VRAM: 216.7GB, Context: 128K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.14.

Merged Model Conversational Deploy:azure Endpoints compatible Instruct Lumikabra-123b Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/schnapper79/lumikabra-123B_v0.4

Lumikabra 123B V0.4 Parameters and Internals

Model Type

Text Generation

Additional Notes

The model lumikabra-123B v0.4 was created by merging multiple components, including Mistral-Large-Instruct-2407, Magnum-v2-123B, Luminum-v0.1-123B, and Tess-3-Mistral-Large-2-123B, using mergekit with the della_linear method. This iteration, fourth in the series, aims for long, creative responses.

LLM Name	Lumikabra 123B V0.4
Repository 🤗	https://huggingface.co/schnapper79/lumikabra-123B_v0.4
Merged Model	Yes
Model Size	123b
Required VRAM	216.7 GB
Updated	2026-07-13
Maintainer	schnapper79
Model Type	mistral
Instruction-Based	Yes
Model Files	4.4 GB: 1-of-51 4.9 GB: 2-of-51 4.8 GB: 3-of-51 4.8 GB: 4-of-51 4.8 GB: 5-of-51 4.9 GB: 6-of-51 4.8 GB: 7-of-51 4.8 GB: 8-of-51 4.8 GB: 9-of-51 4.9 GB: 10-of-51 4.8 GB: 11-of-51 4.8 GB: 12-of-51 4.8 GB: 13-of-51 4.9 GB: 14-of-51 4.8 GB: 15-of-51 4.8 GB: 16-of-51 4.8 GB: 17-of-51 4.9 GB: 18-of-51 4.8 GB: 19-of-51 4.8 GB: 20-of-51 4.8 GB: 21-of-51 4.9 GB: 22-of-51 4.8 GB: 23-of-51 4.8 GB: 24-of-51 4.8 GB: 25-of-51 4.9 GB: 26-of-51 4.8 GB: 27-of-51 4.8 GB: 28-of-51 4.8 GB: 29-of-51 4.9 GB: 30-of-51 4.8 GB: 31-of-51 4.8 GB: 32-of-51 4.8 GB: 33-of-51 4.9 GB: 34-of-51 4.8 GB: 35-of-51 4.8 GB: 36-of-51 4.8 GB: 37-of-51 4.9 GB: 38-of-51 4.8 GB: 39-of-51 4.8 GB: 40-of-51 4.8 GB: 41-of-51 4.9 GB: 42-of-51 4.8 GB: 43-of-51 4.8 GB: 44-of-51 4.8 GB: 45-of-51
Model Architecture	MistralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Lumikabra 123B V0.4 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 Lumikabra 123B V0.4

Best Alternatives	Context / RAM	Downloads	Likes
Behemoth ReduX 123B V1	128K / 217.2 GB	70	14
Behemoth X 123B V2	128K / 217.2 GB	47	32
Behemoth R1 123B V2	128K / 226.4 GB	12	29
ML2 123B Magnum Diamond	128K / 212.4 GB	126	13
Gigaberg Mistral Large 123B	128K / 222 GB	6	2
Cakrawala 123B	128K / 222 GB	6	4
Behemoth 123B V2	128K / 221.6 GB	4	10
Behemoth 123B V1	128K / 221.6 GB	6	44
Magnum V4 123B	128K / 222 GB	22	33
Magnum V2 123B	128K / 207.6 GB	62	64

Note: green Score (e.g. "73.2") means that the model is better than schnapper79/lumikabra-123B_v0.4.