# Mera: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/medismera
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [Qwen3.8-cyber-RedTeam-Surgical-Abliterated](https://savrn.com/models/qwen3-8-cyber-redteam-surgical-abliterated)

[Mera](https://savrn.com/model-publishers/medismera)

Qwen3.8-cyber-RedTeam-Surgical-Abliterated (27B) is an unconstrained foundation engine engineered for autonomous cybersecurity agents, vulnerability research, and offensive cyber operations. Built for executing low-level technical directives rather than conversational chatting, it features complete refusal orthogonalization, native multi-step tool calling, and high-throughput linear-attention efficiency: - Quantization Rationale (Native FP8 vs. 4-bit INT4/AWQ): Evaluated across adversary emulation and systems engineering tasks: A standalone orchestration utility is included for automated environment bootstrapping, weight synchronization, and hardware-adaptive server initialization: This…

Open weights apache-2.0 27.4B parameters 262,144 tokens transformers

[View model](https://savrn.com/models/qwen3-8-cyber-redteam-surgical-abliterated)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-06.
- [Hugging Face profile](https://huggingface.co/medismera)
- [How the hub is built](https://savrn.com/model-hub/methodology)