What are the hardware requirements for Skywork O1 Open Llama 3.1 8B?

Skywork O1 Open Llama 3.1 8B requires approximately 16.1 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 Skywork O1 Open Llama 3.1 8B and how large is it?

Skywork O1 Open Llama 3.1 8B is developed by Skywork, a model with 8b 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 Skywork O1 Open Llama 3.1 8B?

Skywork O1 Open Llama 3.1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Skywork O1 Open Llama 3.1 8B by Skywork — VRAM 16.1GB, 128K context

Name: Skywork O1 Open Llama 3.1 8B
Author: Skywork

Skywork O1 Open Llama 3.1 8B is an open-source language model by Skywork. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B

Skywork O1 Open Llama 3.1 8B Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Complex problem solving

Applications:

Mathematics, Coding, Logical Reasoning

Primary Use Cases:

Solving complex problems involving mathematics, coding, and logical reasoning through deep thought.

Additional Notes

The Skywork models represent a strategic advancement in AI capabilities, moving a previously weaker base model towards the state-of-the-art (SOTA) in reasoning tasks.

Training Details

Methodology:

Reflective Reasoning Training, Reinforcement Learning for Reasoning Capabilities, Reasoning Planning

LLM Name	Skywork O1 Open Llama 3.1 8B
Repository 🤗	https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B
Base Model(s)	meta-llama/Meta-Llama-3.1-8B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-24
Maintainer	Skywork
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Skywork O1 Open Llama 3.1 8B 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 Skywork O1 Open Llama 3.1 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than Skywork/Skywork-o1-Open-Llama-3.1-8B.