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Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF

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kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF is an uncensored open-source model hosted on Hugging Face.

Text GenerationUnsloth DesktopGGUFEnglishLicense: apache-2.030Btransformersfinetuneabliterateduncensoredspecialized post tuningclaude-4.5-opusreasoningthinkingdistill-fine-tunemoe128 experts256k contextmixture of expertsllama-cppgguf-my-repodataset:TeichAI/claude-4.5-opus-high-reasoning-250x
README.md说明 / 使用方法

license: apache-2.0 datasets:

  • TeichAI/claude-4.5-opus-high-reasoning-250x language:
  • en library_name: transformers tags:
  • finetune
  • unsloth
  • abliterated
  • uncensored
  • specialized post tuning
  • claude-4.5-opus
  • reasoning
  • thinking
  • distill-fine-tune
  • moe
  • 128 experts
  • 256k context
  • mixture of experts
  • llama-cpp
  • gguf-my-repo base_model: DavidAU/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2 pipeline_tag: text-generation

kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF

This model was converted to GGUF format from DavidAU/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF --hf-file qwen3-30b-a3b-claude-4.5-opus-high-reasoning-2507-abliterated-uncensored-v2-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF --hf-file qwen3-30b-a3b-claude-4.5-opus-high-reasoning-2507-abliterated-uncensored-v2-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF --hf-file qwen3-30b-a3b-claude-4.5-opus-high-reasoning-2507-abliterated-uncensored-v2-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo kainah/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-Q4_K_M-GGUF --hf-file qwen3-30b-a3b-claude-4.5-opus-high-reasoning-2507-abliterated-uncensored-v2-q4_k_m.gguf -c 2048
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来源与版本

作者
kainah
最近更新
2026/02/11
最新创建
2026/02/11
HF 趋势
未知
数据快照
2026/09/16
版本
未知
许可证
apache-2.0