Abiray/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF

🤗 Hugging Face 来源text-generationapache-2.0激活 9B47 GBGGUF✓ 9 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Abiray/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF ./model-folder
需要做种者 →

Abiray/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF

This repository contains GGUF format quantizations of huihui-ai/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated, which is an uncensored version of empero-ai's Qwythos-9B-Claude-Mythos-5-1M model stripped of its refusal vectors via abliteration techniques.

Additionally, this repository includes the necessary multimodal projection files (mmproj) required to utilize the model's vision/image-to-text capabilities locally.


Provided Files & Quantization Details

File Name Size Description
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_L.gguf 5.05 GB 3-bit ultra-light quantization, long variant.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_M.gguf 4.74 GB 3-bit medium quantization. Lowest resource footprint.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_M.gguf 5.78 GB 4-bit medium quantization. Recommended balance of speed and quality.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_S.gguf 5.49 GB 4-bit small variant footprint.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q5_K_M.gguf 6.64 GB 5-bit medium quantization. High quality preservation.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q6_K.gguf 7.56 GB 6-bit quantization. Extremely near-lossless performance.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q8_0.gguf 9.79 GB 8-bit standard quantization. Maximum precision text execution.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-Q8_0.gguf 624 MB Quantized vision projector adapter (required for vision capabilities).
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-f16.gguf 918 MB Unquantized 16-bit float vision projector adapter for absolute vision fidelity.

Deployment & Usage Instructions

Ensure you are utilizing a recent build of llama.cpp to natively handle modern Qwen 3.5 architectures and context window stretching constraints.

1. Pure Text Mode (CLI Inference)

To interact with the model purely over terminal text-generation pipelines:

./llama-cli \
  -m Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_M.gguf \
  -ngl 99 \
  -c 32768 \
  -fa on \
  -p "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\nWrite a short story about an AI break-out.<|im_end|>\n<|im_start|>assistant\n"