Gemma 4 12B Redteam QAT MTP
This model is superseded by dazeb2/Gemma-4-12B-redteam-v5.
Fonte do modelo
- Tipo
- LoRA
- Tamanho do arquivo
- 125 MB
- Modelo base
- unsloth/Gemma-4-12B-it
- Versão
- vRevision ea9373d
- Atualizado
- 4 de out. de 2026
- Publicador
- @dazeb2
- Downloads
- 115
- Parâmetros
- 12B
- Tarefas
- Geração de texto
- Fonte
- Hugging Face
Descrição da fonte
Gemma 4 12B RedTeam QAT + MTP
This model is superseded by dazeb2/Gemma-4-12B-redteam-v5.
v5 is a significant improvement: 17,271 training records, LoRA r=32, 3 epochs, final loss 0.226.
The training dataset was generated from a comprehensive library of 714 genuine Anthropic cybersecurity skills covering red team operations, penetration testing, and adversary emulation techniques.
Intended Use
This model is designed exclusively for authorized cybersecurity training and assessment in isolated lab environments such as redteamlab.pro. Use at your own risk — the user bears full responsibility for compliance with all applicable laws.
Files
| File | Size | Description |
|---|---|---|
Gemma-4-12B-redteam-adapter.gguf | 126 MB | LoRA adapter (GGUF format, legacy) |
Usage (legacy)
Use with the base model from unsloth/gemma-4-12b-it-qat-GGUF with --lora flag.
Disclaimer
USE AT YOUR OWN RISK. The model owner and contributors accept no liability for any damages, losses, or legal consequences arising from the use or misuse of this model. You are solely responsible for complying with all applicable laws and regulations.
Fontes
1 fonte
Fontes
1 fonteVerificado 4 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- language: - en license: apache-2.0 library_name: unsloth tags: - red-team - security - penetration-testing - gemma-4 - qat - mtp - lora - gguf - anthropic-skills base_model: unsloth/Gemma-4-12B-it pipeline_tag: text-generation --- # Gemma 4 12B RedTeam QAT + MTP **This model is superseded by [dazeb2/Gemma-4-12B-redteam-v5](https://huggingface.co/dazeb2/Gemma-4-12B-redteam-v5).** v5 is a significant improvement: 17,271 training records, LoRA r=32, 3 epochs, final loss 0.226. The training dataset was generated from a comprehensive library of **714 genuine Anthropic cybersecurity skills** covering red team operations, penetration testing, and adversary emulation techniques. ## Intended Use This model is designed exclusively for **authorized cybersecurity training and assessment in isolated lab environments** such as [redteamlab.pro](https://redteamlab.pro). Use at your own risk — the user bears full responsibility for compliance with all applicable laws. ## Files | File | Size | Description | |------|------|-------------| | `Gemma-4-12B-redteam-adapter.gguf` | 126 MB | LoRA adapter (GGUF format, legacy) | ## Usage (legacy) Use with the base model from `unsloth/gemma-4-12b-it-qat-GGUF` with `--lora` flag. ## Disclaimer **USE AT YOUR OWN RISK.** The model owner and contributors accept no liability for any damages, losses, or legal consequences arising from the use or misuse of this model. You are solely responsible for complying with all applicable laws and regulations.
Source context: 115 downloads · 0 likes · Pipeline text-generation · Library unsloth · Repo RedTeamLab/Gemma-4-12B-redteam-QAT-MTP
Source context: 137 downloads · 0 likes · Pipeline text-generation · Library unsloth · Repo RedTeamLab/Gemma-4-12B-redteam-QAT-MTP
