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+ ---
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+ pipeline_tag: text-generation
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+ inference: false
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+ license: apache-2.0
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+ library_name: transformers
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+ tags:
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+ - language
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+ - granite-3.0
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+ - llama-cpp
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+ - gguf-my-repo
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+ base_model: ibm-granite/granite-3.0-8b-instruct
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+ model-index:
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+ - name: granite-3.0-2b-instruct
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: IFEval
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+ type: instruction-following
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+ metrics:
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+ - type: pass@1
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+ value: 52.27
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+ name: pass@1
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+ - type: pass@1
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+ value: 8.22
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: AGI-Eval
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+ type: human-exams
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+ metrics:
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+ - type: pass@1
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+ value: 40.52
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+ name: pass@1
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+ - type: pass@1
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+ value: 65.82
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+ name: pass@1
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+ - type: pass@1
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+ value: 34.45
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: OBQA
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+ type: commonsense
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+ metrics:
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+ - type: pass@1
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+ value: 46.6
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+ name: pass@1
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+ - type: pass@1
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+ value: 71.21
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+ name: pass@1
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+ - type: pass@1
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+ value: 82.61
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+ name: pass@1
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+ - type: pass@1
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+ value: 77.51
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+ name: pass@1
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+ - type: pass@1
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+ value: 60.32
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: BoolQ
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+ type: reading-comprehension
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+ metrics:
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+ - type: pass@1
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+ value: 88.65
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+ name: pass@1
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+ - type: pass@1
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+ value: 21.58
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: ARC-C
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+ type: reasoning
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+ metrics:
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+ - type: pass@1
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+ value: 64.16
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+ name: pass@1
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+ - type: pass@1
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+ value: 33.81
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+ name: pass@1
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+ - type: pass@1
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+ value: 51.55
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEvalSynthesis
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+ type: code
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+ metrics:
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+ - type: pass@1
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+ value: 64.63
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+ name: pass@1
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+ - type: pass@1
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+ value: 57.16
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+ name: pass@1
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+ - type: pass@1
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+ value: 65.85
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+ name: pass@1
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+ - type: pass@1
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+ value: 49.6
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: GSM8K
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+ type: math
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+ metrics:
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+ - type: pass@1
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+ value: 68.99
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+ name: pass@1
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+ - type: pass@1
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+ value: 30.94
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: PAWS-X (7 langs)
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+ type: multilingual
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+ metrics:
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+ - type: pass@1
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+ value: 64.94
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+ name: pass@1
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+ - type: pass@1
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+ value: 48.2
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+ name: pass@1
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+ ---
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+
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+ # Triangle104/granite-3.0-8b-instruct-Q4_K_S-GGUF
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+ This model was converted to GGUF format from [`ibm-granite/granite-3.0-8b-instruct`](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct) 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/ibm-granite/granite-3.0-8b-instruct) 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-cli --hf-repo Triangle104/granite-3.0-8b-instruct-Q4_K_S-GGUF --hf-file granite-3.0-8b-instruct-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/granite-3.0-8b-instruct-Q4_K_S-GGUF --hf-file granite-3.0-8b-instruct-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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+
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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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+ ./llama-cli --hf-repo Triangle104/granite-3.0-8b-instruct-Q4_K_S-GGUF --hf-file granite-3.0-8b-instruct-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/granite-3.0-8b-instruct-Q4_K_S-GGUF --hf-file granite-3.0-8b-instruct-q4_k_s.gguf -c 2048
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+ ```