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Recursive releases Flint, a 39.8B coding-agent model under Apache 2.0

Original title: RecursiveSI/flint — new model trending #29 on Hugging Face

Hugging Face trending modelsby RecursiveSI ()4 min read2 · 2 reads
Part of a story covered by 2 sourcesRecursive’s Flint coding model trends on Hugging FaceMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

About 2.5 billion parameters are active per token; Recursive reports 54.9% on Terminal-Bench 2.1 and 89.7% on SWE-bench Pro v2.

Recursive published Flint, a mixture-of-experts language model aimed at coding agents, on Hugging Face with a BF16 checkpoint and an SGLang serving kit. It has 39.8 billion total parameters, roughly 2.5 billion active per token, text-only input and output, tool use, and a stated 262,144-token context. Recursive’s own evaluations use temperature 1.0 and mark some comparison scores as developer-reported. The weights are Apache 2.0; hosted API terms are separate.

Unconfirmed: Benchmark figures are Recursive’s release evaluations; some comparison scores are developer-reported and setups differ.

Key facts
  • Architecture is 49 layers, with 256 routed experts and 6 selected per token.
  • Stated knowledge cutoff is June 2026.
  • One B300 or H200 GPU per replica is the documented serving setup; the download is about 80 GB.
  • Quantized NVIDIA and Apple Silicon variants are prepared separately.
  • Safety fine-tuning is included, but the card says harmful output and unsafe tool calls remain possible.
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From the original article

4 min read at huggingface.co

text-generation · 0 downloads · 159 likes · license apache-2. 0

Hugging Face trending models

By RecursiveSI · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.