RecursiveSI/flint
text-generation model by RecursiveSI
From the publisher
Model card & documentation
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Recursive Flint Blog | Hugging Face | Local engine | Documentation Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests. Flint supports text input and output, reasoning, and multi-turn tool use. In our release evaluations, it scores 54.9% on Terminal-Bench 2.1, 89.7% on SWE-bench Pro v2, and 74.2% on SWE-bench Verified. This repository contains the BF16 checkpoint, model configuration, tokenizer, chat template, and an SGLang serving kit. Quantized variants are prepared separately for NVIDIA and Apple Silicon runtimes. Flint results use temperature 1.0, top-p 0.95, and top-k 20. Terminal-Bench uses Terminus 2; SWE-bench uses mini-swe-agent. Agentic scores report average pass@1 over at least five attempts. † marks scores measured by Recursive; other comparison scores are developer-reported. Evaluation setups vary across sources. Flint’s Terminal-Bench score counts…
Read the full model card ↗ · Preview checked 2026-10-31T15:35:22.685Z
Inside the original model card — Document outline
- Evaluation
- Model specifications
- Getting started
- Recommended generation settings
- Training
- Limitations and responsible use
- License and reporting
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Model overview
RecursiveSI/flint is a text-generation model repository published by RecursiveSI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 23,079
- Cumulative likes
- 1,280
- Hugging Face trending score
- 307
- Reported safetensors parameters
- 39,785,287,456
- Architecture
- FlintForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T14:20:58.000Z
- Last modified
- 2026-10-21T14:24:03.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
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