What are the hardware requirements for Granite 4.1 8B 8bit?

Granite 4.1 8B 8bit requires approximately 9.4 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 Granite 4.1 8B 8bit and how large is it?

Granite 4.1 8B 8bit is developed by mlx-community, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Granite 4.1 8B 8bit perform on standard benchmarks?

Granite 4.1 8B 8bit has the following published scores: LMSYS ELO 1307. Compare against reference models on this page or on the LLM Explorer leaderboards.

Granite 4.1 8B 8bit by mlx-community — VRAM 9.4GB, 128K context

Name: Granite 4.1 8B 8bit
Author: mlx-community

Granite 4.1 8B 8bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 9.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.39, ELO: 1307.

8-bit 8bit Base model:ibm-granite/granite... Base model:quantized:ibm-grani... Conversational Granite Granite-4.1 Language Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/granite-4.1-8b-8bit

Granite 4.1 8B 8bit Benchmarks

LMSys ELO 1307 vs 1272 (so35) 2.8%

^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)

Granite 4.1 8B 8bit Parameters and Internals

LLM Name	Granite 4.1 8B 8bit
Repository 🤗	https://huggingface.co/mlx-community/granite-4.1-8b-8bit
Base Model(s)	ibm-granite/granite-4.1-8b ibm-granite/granite-4.1-8b
Model Size	8b
Required VRAM	9.4 GB
Updated	2026-08-02
Maintainer	mlx-community
Model Type	granite
Model Files	5.3 GB: 1-of-2 4.1 GB: 2-of-2
Quantization Type	8bit
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100352
Torch Data Type	bfloat16
Errors	replace

Rank the Granite 4.1 8B 8bit 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 Granite 4.1 8B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Granite 3.3 8B Instruct Fp16	128K / 16.4 GB	63	3
Granite 3.3 8B Instruct 8bit	128K / 8.6 GB	53	2
...anite 3.2 8B Instruct Bnb 4bit	128K / 4.5 GB	186	3
Granite 4.1 8B	128K / 17.6 GB	21803	161
Granite 3.1 8B Instruct	128K / 16.4 GB	138888	168
Granite 4.1 8B Base	128K / 16.8 GB	11348	25
Granite Guardian 4.1 8B	128K / 16.8 GB	35637	33
Granite 3.1 8B Reasoning	128K / 16.4 GB	5	1
Granite 3.1 8B Instruct	128K / 16.4 GB	185	1
Granite 4.1 8B Fp8	128K / 9.7 GB	17952	13

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/granite-4.1-8b-8bit.