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LatestRecursiveSIFlint
RecursiveSIText / LLM

Recursive releases Flint, an Apache-2.0 chat model

The new conversational LLM ships under a permissive license with community GGUF builds already available for local use.

Oct 21, 2026
NotableApache 2.0
Flint

Recursive has released Flint, a conversational language model published under the permissive Apache-2.0 license on Hugging Face. The model is aimed at text-based chat use and arrives with community-contributed GGUF builds, which make it straightforward to run on local hardware through tooling like llama.cpp and similar runtimes.

The Apache-2.0 license is the headline detail here. It allows developers to use, modify, and redistribute the model — including in commercial products — without the usage restrictions that accompany many open-weight releases. For teams evaluating models for production, that clarity often matters as much as raw capability.

Why it matters

The presence of GGUF builds at launch signals an intent to meet developers where they already work. Rather than requiring a heavy GPU stack, quantized GGUF files let the model run on consumer machines, lowering the barrier for experimentation and private, offline deployments.

  • Permissive Apache-2.0 terms suited to commercial and research use
  • Community GGUF builds for local, CPU-friendly inference
  • Positioned as a general conversational assistant

Recursive has not published parameter counts, context length, or benchmark figures alongside the release, so independent evaluation will determine how Flint stacks up against the growing field of open chat models. For now, the combination of a clean license and ready-to-run builds gives the curious a low-friction path to try it out.

Sources

  • RecursiveSI/flint

    Hugging Face

    Visit
OlderQwen-Audio-3.1-ASR Adds Speaker-Aware TranscriptionQwen · Alibaba · Speech → Text · 3 days agoNewerIBM's Granite Speech 5.0 Adds Speaker AttributionIBM · Speech → Text · 21 hours ago

Get the model

Hugging Face

Specs

Context window262K tokens
Size79.6 GB
PrecisionBF16
ArchitectureFlintForCausalLM
LicenseAPACHE-2.0
Downloads420
Likes389

Can you run it?

Runs on a 32 GB GPU at 4-bit.

  • BF16 (as published)

    H200 141 GB or 2×80 GB · 192 GB Mac Studio

    81.4 GB
  • 8-bit

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    44 GB
  • 4-bit

    32 GB GPU (RTX 5090) · 48 GB Mac

    25.7 GB
Your machine
GGUF builds
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text / LLM

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