What are the hardware requirements for Premerge EX EX 123B?

Premerge EX EX 123B requires approximately 247.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Premerge EX EX 123B and how large is it?

Premerge EX EX 123B is developed by ChuckMcSneed, 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 Premerge EX EX 123B?

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

Premerge EX EX 123B by ChuckMcSneed — VRAM 247.5GB, 4K context

Name: Premerge EX EX 123B
Author: ChuckMcSneed

Premerge EX EX 123B is an open-source language model by ChuckMcSneed. Features: 123b LLM, VRAM: 247.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Endpoints compatible Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ChuckMcSneed/Premerge-EX-EX-123B

Premerge EX EX 123B Parameters and Internals

Additional Notes

The model was developed using advanced LORA-merging techniques to enhance performance beyond existing models like Goliath.

Training Details

Methodology:

Merger of Xwin-lora and Euryale models using LORA and mergekit techniques, including self-merging aspects.

Input Output

Input Format:

Alpaca

LLM Name	Premerge EX EX 123B
Repository 🤗	https://huggingface.co/ChuckMcSneed/Premerge-EX-EX-123B
Model Size	123b
Required VRAM	247.5 GB
Updated	2026-10-21
Maintainer	ChuckMcSneed
Model Type	llama
Model Files	9.8 GB: 1-of-26 10.0 GB: 2-of-26 9.9 GB: 3-of-26 9.8 GB: 4-of-26 9.8 GB: 5-of-26 9.8 GB: 6-of-26 9.8 GB: 7-of-26 10.0 GB: 8-of-26 10.0 GB: 9-of-26 9.8 GB: 10-of-26 9.8 GB: 11-of-26 9.8 GB: 12-of-26 9.8 GB: 13-of-26 9.8 GB: 14-of-26 10.0 GB: 15-of-26 9.9 GB: 16-of-26 10.0 GB: 17-of-26 9.8 GB: 18-of-26 9.8 GB: 19-of-26 9.8 GB: 20-of-26 10.0 GB: 21-of-26 9.9 GB: 22-of-26 9.8 GB: 23-of-26 9.8 GB: 24-of-26 9.6 GB: 25-of-26 1.2 GB: 26-of-26
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Premerge EX EX 123B capabilities

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

Best Alternatives to Premerge EX EX 123B

Best Alternatives	Context / RAM	Downloads	Likes
DoubleGold V0.1 123B 32K	32K / 247.7 GB	35	1
Premerge XE XE 123B	4K / 247.5 GB	22	1
WinterGoliath 123B	4K / 247.5 GB	69	7
Dicephal 123B	4K / 247.7 GB	19	5
WinterGoliath 123B AWQ	4K / 65 GB	3	2
WinterGoliath 123B GPTQ	4K / 62.8 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than ChuckMcSneed/Premerge-EX-EX-123B.