# Unsloth's 1-bit DeepSeek-V4.1-Flash GGUF leads on DeepSWE and Terminal-Bench

> Original title: We benchmarked DeepSeek-V4.1-Flash-1017 GGUFs on Terminal Bench, DeepSWE & more on 512K context. Unsloth ranks highest overall.

- Source: Unsloth AI
- Published: 2026-11-02T14:43:33.000Z
- Bad Influence: https://badinfluence.news/items/qns9z787n9qvk99e3n62m9sfb
- Original: https://x.com/UnslothAI/status/2117266365929365525

## Summary

Unsloth says its 1-bit DeepSeek-V4.1-Flash-1017 GGUF scores 68.1 on DeepSWE, 72.2 on Terminal-Bench, and 52.7 on AutomationBench at 512K context. The company says this is more than 10% ahead of other quantizations it tested. The GGUF is available on Hugging Face.

## Post

We benchmarked DeepSeek-V4.1-Flash-1017 GGUFs on Terminal Bench, DeepSWE & more on 512K context. Unsloth ranks highest overall.

1-bit Unsloth GGUF scores 68.1 on DeepSWE, 72.2 on Terminal-Bench, 52.7 on AutomationBench. >10% ahead of other quants.

GGUF: https://huggingface.co/unsloth/DeepSeek-V4.1-Flash-1017-GGUF

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWIKBOyawAA2sPl.png&mode=thumb&exp=1793836800&sig=228184cb0a5ea703)

## Quoted post @UnslothAI

> We’re releasing new DeepSeek-V4.1-Flash-1017 GGUFs, ranking highest across benchmarks.
> 
> Dynamic V3.1 leads across nearly all benchmarks: GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, Aider & more.
> 
> Run on 64GB+ RAM.
> 
> GGUF: https://huggingface.co/unsloth/DeepSeek-V4.1-Flash-1017-GGUF
> Blog: https://unsloth.ai/docs/models/deepseek-v4.1-flash

https://x.com/UnslothAI/status/2116156587404562491