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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - llama
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+ - trl
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+ - sft
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+ - llama-cpp
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+ - gguf-my-repo
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+ base_model: hooking-dev/Monah-8b-Uncensored
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+ extra_gated_fields:
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+ Name: text
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+ Company: text
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+ Country: country
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+ I want to use this model for:
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+ type: select
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+ options:
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+ - Research
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+ - Education
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+ - label: Other
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+ value: other
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+ ? You agree to not use the model to conduct experiments that cause harm to human
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+ subjects or use it to obtain illeagal knowladge and I also agree to use this model
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+ for non-commercial use ONLY
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+ : checkbox
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+ model-index:
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+ - name: Monah-8b
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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: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 58.87
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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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: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 80.7
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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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 (5-Shot)
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+ type: cais/mmlu
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+ config: all
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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: 64.69
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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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: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 43.2
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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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: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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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: 76.64
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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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: GSM8k (5-shot)
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+ type: gsm8k
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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: 42.61
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hooking-dev/Monah-8b
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+ name: Open LLM Leaderboard
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+ ---
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+
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+ # Ayyystin/Monah-8b-Uncensored-Q4_0-GGUF
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+ This model was converted to GGUF format from [`hooking-dev/Monah-8b-Uncensored`](https://huggingface.co/hooking-dev/Monah-8b-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/hooking-dev/Monah-8b-Uncensored) for more details on the model.
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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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+ ```
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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 --hf-repo Ayyystin/Monah-8b-Uncensored-Q4_0-GGUF --hf-file monah-8b-uncensored-q4_0.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 Ayyystin/Monah-8b-Uncensored-Q4_0-GGUF --hf-file monah-8b-uncensored-q4_0.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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+
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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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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./main --hf-repo Ayyystin/Monah-8b-Uncensored-Q4_0-GGUF --hf-file monah-8b-uncensored-q4_0.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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+ ./server --hf-repo Ayyystin/Monah-8b-Uncensored-Q4_0-GGUF --hf-file monah-8b-uncensored-q4_0.gguf -c 2048
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+ ```