Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF

This model was converted to GGUF format from Orion-zhen/Qwen2.5-7B-Instruct-Uncensored using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Model details:

This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage.

Traning details

I used SFT + DPO to ensure uncensorment as well as trying to maintain original model's capabilities.

SFT: NobodyExistsOnTheInternet/ToxicQAFinal anthracite-org/kalo-opus-instruct-22k-no-refusal

DPO: Orion-zhen/dpo-toxic-zh unalignment/toxic-dpo-v0.2 Crystalcareai/Intel-DPO-Pairs-Norefusals

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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 Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF --hf-file qwen2.5-7b-instruct-uncensored-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF --hf-file qwen2.5-7b-instruct-uncensored-q4_k_s.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 Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF --hf-file qwen2.5-7b-instruct-uncensored-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF --hf-file qwen2.5-7b-instruct-uncensored-q4_k_s.gguf -c 2048