What are the hardware requirements for Flint Int4?

Flint Int4 requires approximately 3.8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Flint Int4 and how large is it?

Flint Int4 is developed by EigenLabs. 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 Flint Int4?

Flint Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flint Int4 by EigenLabs — VRAM 3.8GB, 256K context

Name: Flint Int4
Author: EigenLabs

Flint Int4 is an open-source language model by EigenLabs. Features: LLM, VRAM: 3.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.32.

Apple-silicon Base model:quantized:recursive... Base model:recursivesi/flint Conversational Darkbloom Flint Int4 Mlx Moe Reasoning Region:us Tool-use

Model Card on HF 🤗: https://huggingface.co/EigenLabs/flint-int4

Flint Int4 Parameters and Internals

LLM Name	Flint Int4
Repository 🤗	https://huggingface.co/EigenLabs/flint-int4
Base Model(s)	Flint RecursiveSI/flint
Required VRAM	3.8 GB
Updated	2026-10-26
Maintainer	EigenLabs
Model Type	flint
Model Files	4.8 GB 4.7 GB 4.7 GB 4.7 GB 3.8 GB
Model Architecture	FlintForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	150144
Torch Data Type	bfloat16

Rank the Flint Int4 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 Flint Int4

Best Alternatives	Context / RAM	Downloads	Likes
Flint Int4	256K / 3.8 GB	6181	18

Note: green Score (e.g. "73.2") means that the model is better than EigenLabs/flint-int4.