What are the hardware requirements for IBM Grok4 Ultra.Fast.Coder 1B?

IBM Grok4 Ultra.Fast.Coder 1B requires approximately 3.3 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 IBM Grok4 Ultra.Fast.Coder 1B and how large is it?

IBM Grok4 Ultra.Fast.Coder 1B is developed by WithinUsAI, a model with 1b 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 IBM Grok4 Ultra.Fast.Coder 1B?

IBM Grok4 Ultra.Fast.Coder 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

IBM Grok4 Ultra.Fast.Coder 1B by WithinUsAI — VRAM 3.3GB, 128K context

Name: IBM Grok4 Ultra.Fast.Coder 1B
Author: WithinUsAI

IBM Grok4 Ultra.Fast.Coder 1B is an open-source language model by WithinUsAI. Features: 1b LLM, VRAM: 3.3GB, Context: 128K, LLM Explorer Score: 0.23.

Base model:finetune:ibm-granit... Base model:ibm-granite/granite... Code Conversational Dataset:antired/tradehax-xai-g... Dataset:antired/tradehax-xai-g... Dataset:crownelius/hyper-creat... Dataset:crownelius/hyper-logic... Dataset:crownelius/hyper-ultra... Dataset:liontix/grok-code-fast... Dataset:lvogel123/arc-agi-1-gr... Dataset:nmayorga7/math-grok-4 Dataset:teichai/brainstorm-v3.... Dataset:teichai/grok-code-fast... En Full-finetune Granite Granitemoehybrid Ibm Multi-gpu Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/WithinUsAI/IBM-Grok4-Ultra.Fast.Coder-1B

IBM Grok4 Ultra.Fast.Coder 1B Parameters and Internals

LLM Name	IBM Grok4 Ultra.Fast.Coder 1B
Repository 🤗	https://huggingface.co/WithinUsAI/IBM-Grok4-Ultra.Fast.Coder-1B
Base Model(s)	ibm-granite/granite-4.0-1b ibm-granite/granite-4.0-1b
Model Size	1b
Required VRAM	3.3 GB
Updated	2026-08-01
Maintainer	WithinUsAI
Model Type	granitemoehybrid
Model Files	2.0 GB: 1-of-2 1.3 GB: 2-of-2
Supported Languages	en
Model Architecture	GraniteMoeHybridForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100352

Rank the IBM Grok4 Ultra.Fast.Coder 1B capabilities

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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 IBM Grok4 Ultra.Fast.Coder 1B

Best Alternatives	Context / RAM	Downloads	Likes
IBM Grok4 UltraFastCoder 1B	128K / 3.3 GB	4114	3
Granite 4.0 H 1B	128K / 2.9 GB	4253	148
IBM Grok4 UltraFast Coder 1B	128K / 3.3 GB	513	3
Granite 4.0 1B	128K / 3.3 GB	6556	53
Granite 4.0 1B Base	128K / 3.3 GB	5599	32
IBM GPT 5.4 Coder 1B	128K / 3.3 GB	99	4
IBM GPT5.4 Coder 1B	128K / 3.3 GB	11	2
IBM GPT5.4 Coder 1B	128K / 3.3 GB	28	5
IBM GPT5.4 Coder 1B	128K / 3.3 GB	34	3
Granite 4.0 1B	128K / 3.3 GB	599	0

Note: green Score (e.g. "73.2") means that the model is better than WithinUsAI/IBM-Grok4-Ultra.Fast.Coder-1B.