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--- |
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language: |
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- zh |
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- en |
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license: gpl-3.0 |
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tags: |
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- qwen |
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- uncensored |
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- llama-cpp |
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- gguf-my-repo |
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base_model: Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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datasets: |
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- NobodyExistsOnTheInternet/ToxicQAFinal |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- Orion-zhen/dpo-toxic-zh |
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- unalignment/toxic-dpo-v0.2 |
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- Crystalcareai/Intel-DPO-Pairs-Norefusals |
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pipeline_tag: text-generation |
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model-index: |
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- name: Qwen2.5-7B-Instruct-Uncensored |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 72.04 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 35.83 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 1.36 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 7.05 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 13.58 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 38.07 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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name: Open LLM Leaderboard |
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--- |
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|
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# Triangle104/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF |
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This model was converted to GGUF format from [`Orion-zhen/Qwen2.5-7B-Instruct-Uncensored`](https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored) for more details on the model. |
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--- |
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Model details: |
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- |
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This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. |
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However, I can still notice that though uncensored, the model fails to |
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generate detailed descriptions on certain extreme scenarios, which might |
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be associated with deletion on some pretrain datasets in Qwen's |
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pretraining stage. |
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Traning details |
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- |
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I used SFT + DPO to ensure uncensorment as well as trying to maintain original model's capabilities. |
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SFT: |
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NobodyExistsOnTheInternet/ToxicQAFinal |
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anthracite-org/kalo-opus-instruct-22k-no-refusal |
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DPO: |
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Orion-zhen/dpo-toxic-zh |
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unalignment/toxic-dpo-v0.2 |
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Crystalcareai/Intel-DPO-Pairs-Norefusals |
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|
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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|
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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|
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### CLI: |
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```bash |
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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" |
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``` |
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|
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### Server: |
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```bash |
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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 |
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``` |
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|
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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|
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./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" |
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``` |
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or |
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``` |
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./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 |
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``` |
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