What are the hardware requirements for Grug 67B A2b Sft S2 Thinking Step630?

Grug 67B A2b Sft S2 Thinking Step630 requires approximately 133.9 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Grug 67B A2b Sft S2 Thinking Step630 and how large is it?

Grug 67B A2b Sft S2 Thinking Step630 is developed by penfever, a model with 67b 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 Grug 67B A2b Sft S2 Thinking Step630?

Grug 67B A2b Sft S2 Thinking Step630 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Grug 67B A2b Sft S2 Thinking Step630 by penfever — VRAM 133.9GB, 64K context

Name: Grug 67B A2b Sft S2 Thinking Step630
Author: penfever

Grug 67B A2b Sft S2 Thinking Step630 is an open-source language model by penfever. Features: 67b LLM, VRAM: 133.9GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:penfever/g... Base model:penfever/grug-67b-a... Conversational Endpoints compatible Grug Grug moe Marin Moe Reasoning Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/penfever/grug-67b-a2b-sft-s2-thinking-step630

Grug 67B A2b Sft S2 Thinking Step630 Parameters and Internals

LLM Name	Grug 67B A2b Sft S2 Thinking Step630
Repository 🤗	https://huggingface.co/penfever/grug-67b-a2b-sft-s2-thinking-step630
Base Model(s)	...7B A2b Sft S1 Wildchat Step257 penfever/grug-67b-a2b-sft-s1-wildchat-step257
Model Size	67b
Required VRAM	133.9 GB
Updated	2026-07-21
Maintainer	penfever
Model Type	grug_moe
Model Files	4.7 GB: 1-of-39 3.4 GB: 2-of-39 3.4 GB: 3-of-39 3.4 GB: 4-of-39 3.4 GB: 5-of-39 3.4 GB: 6-of-39 3.4 GB: 7-of-39 3.4 GB: 8-of-39 3.4 GB: 9-of-39 3.4 GB: 10-of-39 3.4 GB: 11-of-39 3.4 GB: 12-of-39 3.4 GB: 13-of-39 3.4 GB: 14-of-39 3.4 GB: 15-of-39 3.4 GB: 16-of-39 3.4 GB: 17-of-39 3.4 GB: 18-of-39 3.4 GB: 19-of-39 3.4 GB: 20-of-39 3.4 GB: 21-of-39 3.4 GB: 22-of-39 3.4 GB: 23-of-39 3.4 GB: 24-of-39 3.4 GB: 25-of-39 3.4 GB: 26-of-39 3.4 GB: 27-of-39 3.4 GB: 28-of-39 3.4 GB: 29-of-39 3.4 GB: 30-of-39 3.4 GB: 31-of-39 3.4 GB: 32-of-39 3.4 GB: 33-of-39 3.4 GB: 34-of-39 3.4 GB: 35-of-39 3.4 GB: 36-of-39 3.4 GB: 37-of-39 3.4 GB: 38-of-39 3.4 GB: 39-of-39
Model Architecture	GrugMoeForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Vocabulary Size	128256

Rank the Grug 67B A2b Sft S2 Thinking Step630 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 Grug 67B A2b Sft S2 Thinking Step630

Best Alternatives	Context / RAM	Downloads	Likes
...2B Datakit SFT 262K 2026.09.11	256K / 70.6 GB	339	1
...7B A2b Sft S1 Wildchat Step257	64K / 133.9 GB	233	0

Note: green Score (e.g. "73.2") means that the model is better than penfever/grug-67b-a2b-sft-s2-thinking-step630.