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Flint open-weights coding model: Cline and Recursive dispute who released it

3 articles3 sourcessince Oct 21Last article 40m ago ·

Overview

AISummary of 3 articles

Recursive has released Flint, a 40B mixture-of-experts coding model under the Apache 2.0 license, according to Testing Catalog.

Recursive says Flint runs at more than 220 tokens per second on a 64GB RTX Spark, and that its Eureka Machine wrote GPU code that sped Flint up 55% on that hardware without changing the weights. Recursive says the weights are on Hugging Face.

Earlier, Cline said on X that Flint scores 54.9% on Terminal-Bench 2.1 with about 2B active parameters, and that it needs about 24GB of memory and runs at 125+ tokens per second on a MacBook Pro. Those figures are Cline's own claims, and no other source has confirmed the score. Thomas Wolf and Richard Socher, posting on X, attribute Flint to Recursive, describing it as Recursive's first model, built in under four months, with 4-bit lm_head quantization landing 0.7 points from bf16. The reports do not explain why Cline and Recursive are named as the source.

Written by AI from the articles below · updated Oct 21, 3:30 PM ET

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Developments

3 developments

  1. Oct 21, 3:06 PM ET · 1 article
    Recursive releases Flint, an open-weight 40B coding model under Apache 2.0
    Testing Catalog: Recursive releases Flint, an Apache 2.0 open-weight coding model
  2. Oct 21, 2:02 PM ET · 1 article
    Thomas Wolf praises Recursive's Flint 4-bit quantized open-weights coding model
    Thomas Wolf: Recursive releases Flint, an open-weights local coding model with 4-bit lm_head
  3. Oct 21, 1:59 PM ET · 1 article
    Cline reports Flint scores 54.9% on Terminal-Bench 2.1 with about 2B active parameters
    Cline: Flint scores 54.9% on Terminal-Bench 2.1 with about 2B active parameters

Article timeline

The articles in this story. Times are ET.

Oct 21
  1. 🚨 AI News | TestingCatalogX
    Recursive releases Flint, an Apache 2.0 open-weight coding model

    AIRecursive has released Flint, a 40B parameter mixture-of-experts coding model under the Apache 2.0 license, which it says is 2x faster than comparable alternatives. Recursive reports more than 220 tokens per second on a 64GB RTX Spark and says its Eureka Machine wrote GPU code that sped Flint up by 55% on that hardware without changing the weights.

    Image from @testingcatalog's post
  2. Thomas WolfX
    Recursive releases Flint, an open-weights local coding model with 4-bit lm_head

    AIThomas Wolf says Recursive's Flint quantized the lm_head to 4 bits and landed 0.7 points from bf16, an outcome he calls impressive. Flint's open weights are pushed to the Hugging Face hub. Richard Socher says Flint is Recursive's first model, built in under four months with the Eureka Machine and running at 125+ tokens/sec on a MacBook Pro.

  3. ClineOfficial
    Flint scores 54.9% on Terminal-Bench 2.1 with about 2B active parameters

    AICline says Flint scores 54.9% on Terminal-Bench 2.1 with about 2B active parameters, ahead of every other small MoE model and two of three dense models near 30B. It needs about 24GB of memory and runs at 125+ tokens per second on a MacBook Pro.

    Image from @cline's post

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