What are the hardware requirements for WinterGoliath 123B?

WinterGoliath 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 WinterGoliath 123B and how large is it?

WinterGoliath 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 WinterGoliath 123B?

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

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

Name: WinterGoliath 123B
Author: ChuckMcSneed

WinterGoliath 123B is an open-source language model by ChuckMcSneed. Features: 123b LLM, VRAM: 247.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.1.

Endpoints compatible Llama Merge Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ChuckMcSneed/WinterGoliath-123b

WinterGoliath 123B Parameters and Internals

Additional Notes

Merge of Xwin and WinterGoddess models using mergekit, resulting in a sidegrade; prioritized smartness over neutrality and fun.

Input Output

Input Format:

Vicuna or Alpaca

LLM Name	WinterGoliath 123B
Repository 🤗	https://huggingface.co/ChuckMcSneed/WinterGoliath-123b
Model Size	123b
Required VRAM	247.5 GB
Updated	2026-10-21
Maintainer	ChuckMcSneed
Model Type	llama
Model Files	9.6 GB: 1-of-26 9.9 GB: 2-of-26 10.0 GB: 3-of-26 9.9 GB: 4-of-26 9.9 GB: 5-of-26 9.8 GB: 6-of-26 9.9 GB: 7-of-26 9.7 GB: 8-of-26 9.8 GB: 9-of-26 9.8 GB: 10-of-26 10.0 GB: 11-of-26 10.0 GB: 12-of-26 9.6 GB: 13-of-26 10.0 GB: 14-of-26 9.8 GB: 15-of-26 10.0 GB: 16-of-26 9.6 GB: 17-of-26 10.0 GB: 18-of-26 9.8 GB: 19-of-26 9.7 GB: 20-of-26 9.6 GB: 21-of-26 9.8 GB: 22-of-26 10.0 GB: 23-of-26 9.8 GB: 24-of-26 9.8 GB: 25-of-26 1.7 GB: 26-of-26
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the WinterGoliath 123B 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

Quantized Models of the WinterGoliath 123B

Model	Likes	Downloads	VRAM
WinterGoliath 123B GGUF	1	6	45 GB
WinterGoliath 123B AWQ	2	3	65 GB
WinterGoliath 123B GPTQ	1	3	62 GB

Best Alternatives to WinterGoliath 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
Premerge EX EX 123B	4K / 247.5 GB	19	1
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/WinterGoliath-123b.