What are the hardware requirements for GPT Oss 120B Dequantized?

GPT Oss 120B Dequantized requires approximately 135.6 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 GPT Oss 120B Dequantized and how large is it?

GPT Oss 120B Dequantized is developed by axolotl-ai-co, 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 GPT Oss 120B Dequantized?

GPT Oss 120B Dequantized is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Oss 120B Dequantized by axolotl-ai-co — VRAM 135.6GB, 128K context

Name: GPT Oss 120B Dequantized
Author: axolotl-ai-co

GPT Oss 120B Dequantized is an open-source language model by axolotl-ai-co. Features: 120b LLM, VRAM: 135.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Conversational Endpoints compatible Gpt oss Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/axolotl-ai-co/gpt-oss-120b-dequantized

GPT Oss 120B Dequantized Parameters and Internals

LLM Name	GPT Oss 120B Dequantized
Repository 🤗	https://huggingface.co/axolotl-ai-co/gpt-oss-120b-dequantized
Model Size	120b
Required VRAM	135.6 GB
Updated	2026-08-01
Maintainer	axolotl-ai-co
Model Type	gpt_oss
Model Files	1.2 GB: 1-of-73 4.2 GB: 2-of-73 2.2 GB: 3-of-73 4.2 GB: 4-of-73 2.2 GB: 5-of-73 4.2 GB: 6-of-73 2.2 GB: 7-of-73 4.2 GB: 8-of-73 2.2 GB: 9-of-73 4.2 GB: 10-of-73 2.2 GB: 11-of-73 4.2 GB: 12-of-73 2.2 GB: 13-of-73 4.2 GB: 14-of-73 2.2 GB: 15-of-73 4.2 GB: 16-of-73 2.2 GB: 17-of-73 4.2 GB: 18-of-73 2.2 GB: 19-of-73 4.2 GB: 20-of-73 2.2 GB: 21-of-73 4.2 GB: 22-of-73 2.2 GB: 23-of-73 4.2 GB: 24-of-73 2.2 GB: 25-of-73 4.2 GB: 26-of-73 2.2 GB: 27-of-73 4.2 GB: 28-of-73 2.2 GB: 29-of-73 4.2 GB: 30-of-73 2.2 GB: 31-of-73 4.2 GB: 32-of-73 2.2 GB: 33-of-73 4.2 GB: 34-of-73 2.2 GB: 35-of-73 4.2 GB: 36-of-73 2.2 GB: 37-of-73 4.2 GB: 38-of-73 2.2 GB: 39-of-73 4.2 GB: 40-of-73 2.2 GB: 41-of-73 4.2 GB: 42-of-73 2.2 GB: 43-of-73
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.0
Vocabulary Size	201088
Torch Data Type	bfloat16

Rank the GPT Oss 120B Dequantized capabilities

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Best Alternatives to GPT Oss 120B Dequantized

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 120B	128K / 65.1 GB	4232947	5068
GPT Oss 120B	128K / 65.1 GB	2742	22
GPT Oss 120B Mxfp4 Bf16	128K / 64.8 GB	1653	2
Medical GPT OSS Swallow 120B	128K / 139.8 GB	139	4
GPT Oss Safeguard 120B	128K / 65.1 GB	4032	99
GPT Oss 120B BF16	128K / 142 GB	8192	8
Scal Lite 60B Code	128K / 34.8 GB	6	2
GPT Oss 120B MLX 8bit	128K / 123.7 GB	37801	13
GPT Oss 120B MXFP4 Q8	128K / 63.7 GB	7308	17
GPT Oss 120B Unsloth Bnb 4bit	128K / 62.1 GB	10211	17

Note: green Score (e.g. "73.2") means that the model is better than axolotl-ai-co/gpt-oss-120b-dequantized.