What are the hardware requirements for GPT Oss 20B BF16 W4a16 Llmcompressor?

GPT Oss 20B BF16 W4a16 Llmcompressor requires approximately 12.8 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 20B BF16 W4a16 Llmcompressor and how large is it?

GPT Oss 20B BF16 W4a16 Llmcompressor is developed by amd, a model with 20b 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 20B BF16 W4a16 Llmcompressor?

GPT Oss 20B BF16 W4a16 Llmcompressor is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Oss 20B BF16 W4a16 Llmcompressor by amd — VRAM 12.8GB, 128K context

Name: GPT Oss 20B BF16 W4a16 Llmcompressor
Author: amd

GPT Oss 20B BF16 W4a16 Llmcompressor is an open-source language model by amd. Features: 20b LLM, VRAM: 12.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.31.

8-bit Amd Base model:quantized:unsloth/g... Base model:unsloth/gpt-oss-20b... Compressed-tensors Conversational Cpu-inference Dynamic-quantization En Endpoints compatible Gpt oss Int8 Llm-compressor Quantized Region:us Safetensors Sharded Tensorflow W8a8 Zendnn

Model Card on HF 🤗: https://huggingface.co/amd/gpt-oss-20b-BF16-w4a16-llmcompressor

GPT Oss 20B BF16 W4a16 Llmcompressor Parameters and Internals

LLM Name	GPT Oss 20B BF16 W4a16 Llmcompressor
Repository 🤗	https://huggingface.co/amd/gpt-oss-20b-BF16-w4a16-llmcompressor
Base Model(s)	GPT Oss 20B BF16 unsloth/gpt-oss-20b-BF16
Model Size	20b
Required VRAM	12.8 GB
Updated	2026-09-21
Maintainer	amd
Model Type	gpt_oss
Model Files	4.3 GB: 1-of-3 4.3 GB: 2-of-3 4.2 GB: 3-of-3
Supported Languages	en
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	201088

Rank the GPT Oss 20B BF16 W4a16 Llmcompressor 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 20B BF16 W4a16 Llmcompressor

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 20B	128K / 13.8 GB	7983620	4849
OTel LLM 20B Reasoning	128K / 83.8 GB	1040	1
GPT Oss 20B	128K / 13.8 GB	16416	47
GPT Oss Safeguard 20B	128K / 13.8 GB	154333	239
Context 1	128K / 41.8 GB	726	414
Atlasv25 TRM Gptoss 20B	128K / 41.8 GB	520	0
...erih Gptoss 20B Lora32 Step600	128K / 13.8 GB	289	0
OptiMind SFT	128K / 42 GB	15767	102
Strawberry 1	128K / 41.6 GB	406	2
GPT Oss 20B Heretic Ara V4	128K / 13.8 GB	5339	13

Note: green Score (e.g. "73.2") means that the model is better than amd/gpt-oss-20b-BF16-w4a16-llmcompressor.