base_model: cognitivecomputations/Wizard-Vicuna-30B-Uncensored
datasets:

• ehartford/wizard_vicuna_70k_unfiltered
  language:
• en
  license: other
  tags:
• uncensored
• llama-cpp
• gguf-my-repo
  model-index:
• name: Wizard-Vicuna-30B-Uncensored
  results:
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: AI2 Reasoning Challenge (25-Shot)
    type: ai2_arc
    config: ARC-Challenge
    split: test
    args:
    num_few_shot: 25
    
    metrics:
    • type: acc_norm
      value: 62.12
      name: normalized accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: HellaSwag (10-Shot)
    type: hellaswag
    split: validation
    args:
    num_few_shot: 10
    
    metrics:
    • type: acc_norm
      value: 83.45
      name: normalized accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: MMLU (5-Shot)
    type: cais/mmlu
    config: all
    split: test
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 58.24
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: TruthfulQA (0-shot)
    type: truthful_qa
    config: multiple_choice
    split: validation
    args:
    num_few_shot: 0
    
    metrics:
    • type: mc2
      value: 50.81
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: Winogrande (5-shot)
    type: winogrande
    config: winogrande_xl
    split: validation
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 78.45
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: GSM8k (5-shot)
    type: gsm8k
    config: main
    split: test
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 14.25
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-30B-Uncensored
      name: Open LLM Leaderboard

dlwnsvlf/Wizard-Vicuna-30B-Uncensored-Q3_K_M-GGUF

This model was converted to GGUF format from cognitivecomputations/Wizard-Vicuna-30B-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.

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 dlwnsvlf/Wizard-Vicuna-30B-Uncensored-Q3_K_M-GGUF --hf-file wizard-vicuna-30b-uncensored-q3_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo dlwnsvlf/Wizard-Vicuna-30B-Uncensored-Q3_K_M-GGUF --hf-file wizard-vicuna-30b-uncensored-q3_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 dlwnsvlf/Wizard-Vicuna-30B-Uncensored-Q3_K_M-GGUF --hf-file wizard-vicuna-30b-uncensored-q3_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo dlwnsvlf/Wizard-Vicuna-30B-Uncensored-Q3_K_M-GGUF --hf-file wizard-vicuna-30b-uncensored-q3_k_m.gguf -c 2048