RepoAlerts

hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000

Can I trust it?

Be careful with this one.

  • Warnings Check

    Very new: it was created 12 days ago. Wait a little before installing it.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change 7 days ago.

  • Licence Careful

    No licence: legally you can't reuse the code, unless the README says otherwise.

Quick checks from public data. They help, but they are no guarantee.

From the GitHub description

Abliterated DeepSeek-V4.1-Flash-1017 (FP8 dense, FP4 experts) on 4x RTX PRO 6000 with vLLM-Moet r21 and DSpark: 371-376 tok/s single-stream agent decode at 30k-120k context, 1M context, Flex-start GCE VM

We haven't written this repo up yet. It gets a summary once it enters the radar's top.

How to use it

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000 in my project. Follow its README: https://github.com/hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000. Explain each step and check it is safe before running anything.

Read the README

Star curve

35From 0 to 35 stars between 23 Oct 2026 and 3 Nov 2026.

Get alerts for repos like this

We'll email you when something in Models & inference starts rising. Free, once a week, only what matches.

What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy

For maintainers

Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.

[![hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000 on RepoAlerts](https://repoalerts.com/badge/hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000.svg)](https://repoalerts.com/repo/hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000?ref=badge)
Share on X

  • Pika-Labs/Pika-H3-Flex

    Open-weight video and audio generation model built on MiniMax-H3, producing MP4 video with synchronized stereo audio from text, endpoint frames or multimodal references. Local inference supports nativ

    ModelModels & inferencePython · 1,508 stars · +1,508 this week · 6 days old

  • anthropics/FlashProve

    A research prototype that lets an AI provider prove, with zero-knowledge proofs, that a reply came from a committed model, without revealing the model's weights. Verification runs on a CPU and does no

    Models & inferenceLean · 634 stars · +634 this week · 5 days old

  • UncensoredLabs/uncensored-ai-api

    Official guides, configuration examples and API samples for a hosted, OpenAI-compatible API serving uncensored and abliterated DeepSeek and GLM text models, with streaming and a browser chat. The host

    ResourceModels & inferenceJavaScript · 386 stars · +386 this week · 3 days old

  • RikiyaT/lm_understand-logs

    Complete logs of the experiments in a blog post on whether LLMs can understand and write neural network weights. Includes prompts, model replies, sandbox code and outputs, evaluations, and the network

    ResourceModels & inferencePython · 836 stars · +836 this week · 6 days old

  • Prefrontal-AI/latent-sparse-attention

    Research code for Latent Sparse Attention, which clusters keys hierarchically in a learned latent space so each query scores cluster centroids and attends only to selected long-range keys plus sink an

    LibraryModels & inferencePython · 355 stars · +355 this week · 8 days old

  • finic-ai/kairos

    Open-source real-time fraud and risk decisioning service that scores sign-ups, logins, orders, payments and payouts and returns approve, step up, review or block decisions with reasons. Lets coding ag

    LibraryModels & inferenceTypeScript · 165 stars · +165 this week · 5 days old · HN 93 pts