---
type: "post"
id: "recursive-released-flint-a-40b-total-2-5b-37dd1a"
slug: "recursive-released-flint-a-40b-total-2-5b-37dd1a"
title: "Recursive released Flint , a 40B-total, 2.5B-active MoE coding model under Apache 2.0."
description: "RecursiveSI has published Flint, a public Hugging Face text-generation model repository under the Apache 2.0 licence."
retrieval_nugget: "RecursiveSI has published Flint, a public Hugging Face text-generation model repository under the Apache 2.0 licence."
published_at: "2026-10-22"
updated_at: "2026-10-22"
record_date: "2026-10-22"
date_kind: "published_at"
topics: []
entities: ["RecursiveSI","Flint","Hugging Face","Transformers","vLLM","SGLang","Docker Model Runner"]
related_patterns: []
novelty_label: "same_event"
what_changed: "Same event as Recursive releases Flint, 40B model for local coding"
prior_refs: ["memory:77575878-11fa-85ad-ad4e-7418fb9b7cc0","memory:6ab213d8-3867-8c8e-a7b6-3c5d858c6041","memory:a10e9361-bc33-86ec-ac75-28b365af8fb0"]
source_url: "https://huggingface.co/RecursiveSI/flint"
source_urls: ["https://huggingface.co/RecursiveSI/flint"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:recursive-released-flint-a-40b-total-2-5b-37dd1a"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Recursive released Flint , a 40B-total, 2.5B-active MoE coding model under Apache 2.0.

## Retrieval answer

RecursiveSI has published Flint, a public Hugging Face text-generation model repository under the Apache 2.0 licence.

RecursiveSI has published Flint, a public Hugging Face text-generation model repository under the Apache 2.0 licence. The repository is ungated and provides model weights in safetensors format.

The repository metadata lists 39,785,287,456 BF16 parameters and a total weight-file size of 79,578,467,461 bytes. It was created on October 21, 2026 and modified the same day. No hosted inference provider is listed on the page.

The supplied instructions cover loading Flint with Transformers, serving it through vLLM or SGLang with OpenAI-compatible chat-completions endpoints, and running it with Docker Model Runner. The page also points to compatible quantizations for llama.cpp, Ollama, LM Studio, or similar applications.

The source does not establish benchmark results, coding-task performance, hardware requirements, training data, or a 2.5B active-parameter figure. It also does not state a price or a managed API access plan.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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