What are the hardware requirements for Mlx Community Goliath 120B?

Mlx Community Goliath 120B requires approximately 234 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 Mlx Community Goliath 120B and how large is it?

Mlx Community Goliath 120B is developed by timtt, a model with 120b 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 Mlx Community Goliath 120B?

Mlx Community Goliath 120B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mlx Community Goliath 120B by timtt — VRAM 234GB, 4K context

Name: Mlx Community Goliath 120B
Author: timtt

Mlx Community Goliath 120B is an open-source language model by timtt. Features: 120b LLM, VRAM: 234GB, Context: 4K, License: llama2, LLM Explorer Score: 0.12.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/timtt/mlx-community-goliath-120b

Mlx Community Goliath 120B Parameters and Internals

Additional Notes

You will need a decent machine to run this.

LLM Name	Mlx Community Goliath 120B
Repository 🤗	https://huggingface.co/timtt/mlx-community-goliath-120b
Model Size	120b
Required VRAM	234 GB
Updated	2026-07-22
Maintainer	timtt
Model Type	llama
Model Files	5.2 GB: 1-of-46 5.1 GB: 2-of-46 5.1 GB: 3-of-46 5.1 GB: 4-of-46 5.1 GB: 5-of-46 5.1 GB: 6-of-46 5.1 GB: 7-of-46 5.1 GB: 8-of-46 5.1 GB: 9-of-46 5.1 GB: 10-of-46 5.1 GB: 11-of-46 5.1 GB: 12-of-46 5.1 GB: 13-of-46 5.1 GB: 14-of-46 5.1 GB: 15-of-46 5.1 GB: 16-of-46 5.1 GB: 17-of-46 5.1 GB: 18-of-46 5.1 GB: 19-of-46 5.1 GB: 20-of-46 5.1 GB: 21-of-46 5.1 GB: 22-of-46 5.1 GB: 23-of-46 5.1 GB: 24-of-46 5.1 GB: 25-of-46 5.1 GB: 26-of-46 5.1 GB: 27-of-46 5.1 GB: 28-of-46 5.1 GB: 29-of-46 5.1 GB: 30-of-46 5.1 GB: 31-of-46 5.1 GB: 32-of-46 5.1 GB: 33-of-46 5.1 GB: 34-of-46 5.1 GB: 35-of-46 5.1 GB: 36-of-46 5.1 GB: 37-of-46 5.1 GB: 38-of-46 5.1 GB: 39-of-46 5.1 GB: 40-of-46 5.1 GB: 41-of-46 5.1 GB: 42-of-46 5.1 GB: 43-of-46 5.1 GB: 44-of-46 5.1 GB: 45-of-46 4.4 GB: 46-of-46
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mlx Community Goliath 120B 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

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...0B Instruct Abliterated Merged	8K / 243.7 GB	1	1
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Note: green Score (e.g. "73.2") means that the model is better than timtt/mlx-community-goliath-120b.