What are the hardware requirements for GPT Oss 120B?

GPT Oss 120B requires approximately 65.1 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 and how large is it?

GPT Oss 120B is developed by unsloth, a model with 120b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GPT Oss 120B perform on standard benchmarks?

GPT Oss 120B has the following published scores: LMSYS ELO 1352. Compare against reference models on this page or on the LLM Explorer leaderboards.

GPT Oss 120B by unsloth — VRAM 65.1GB, 128K context

Name: GPT Oss 120B
Author: unsloth

GPT Oss 120B is an open-source language model by unsloth. Features: 120b LLM, VRAM: 65.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.36, ELO: 1352.

8-bit Base model:openai/gpt-oss-120b Base model:quantized:openai/gp... Conversational Endpoints compatible Gpt oss Mxfp4 Region:us Safetensors Sharded Tensorflow Vllm

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

GPT Oss 120B Benchmarks

LMSys ELO 1352 vs 1272 (so35) 6.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

GPT Oss 120B Parameters and Internals

LLM Name	GPT Oss 120B
Repository 🤗	https://huggingface.co/unsloth/gpt-oss-120b
Base Model(s)	GPT Oss 120B openai/gpt-oss-120b
Model Size	120b
Required VRAM	65.1 GB
Updated	2026-07-24
Maintainer	unsloth
Model Type	gpt_oss
Model Files	4.6 GB: 0-of-14 4.1 GB: 1-of-14 4.6 GB: 2-of-14 4.1 GB: 3-of-14 4.6 GB: 4-of-14 4.1 GB: 5-of-14 4.6 GB: 6-of-14 4.1 GB: 7-of-14 4.6 GB: 8-of-14 4.2 GB: 9-of-14 4.6 GB: 10-of-14 4.1 GB: 11-of-14 4.1 GB: 12-of-14 4.6 GB: 13-of-14 4.1 GB: 14-of-14
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_200017\|>
Vocabulary Size	201088

Rank the GPT Oss 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

Best Alternatives to GPT Oss 120B

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 120B	128K / 65.1 GB	4232947	5068
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 Dequantized	128K / 135.6 GB	16	0
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 unsloth/gpt-oss-120b.