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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-3.0-3b-a800m-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: 42.49 |
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name: pass@1 |
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- type: pass@1 |
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value: 7.02 |
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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: 25.7 |
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name: pass@1 |
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- type: pass@1 |
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value: 50.16 |
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name: pass@1 |
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- type: pass@1 |
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value: 20.51 |
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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: 40.8 |
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name: pass@1 |
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- type: pass@1 |
|
value: 59.95 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 71.86 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 67.01 |
|
name: pass@1 |
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- type: pass@1 |
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value: 48 |
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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: 78.65 |
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name: pass@1 |
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- type: pass@1 |
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value: 6.71 |
|
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: 50.94 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 26.85 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 37.7 |
|
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: 39.63 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 40.85 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 35.98 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 27.4 |
|
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: 47.54 |
|
name: pass@1 |
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- type: pass@1 |
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value: 19.86 |
|
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: 50.23 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 28.87 |
|
name: pass@1 |
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--- |
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|
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# farpluto/granite-3.0-3b-a800m-instruct-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`ibm-granite/granite-3.0-3b-a800m-instruct`](https://huggingface.co/ibm-granite/granite-3.0-3b-a800m-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-3.0-3b-a800m-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 farpluto/granite-3.0-3b-a800m-instruct-Q4_K_M-GGUF --hf-file granite-3.0-3b-a800m-instruct-q4_k_m.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 farpluto/granite-3.0-3b-a800m-instruct-Q4_K_M-GGUF --hf-file granite-3.0-3b-a800m-instruct-q4_k_m.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 farpluto/granite-3.0-3b-a800m-instruct-Q4_K_M-GGUF --hf-file granite-3.0-3b-a800m-instruct-q4_k_m.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 farpluto/granite-3.0-3b-a800m-instruct-Q4_K_M-GGUF --hf-file granite-3.0-3b-a800m-instruct-q4_k_m.gguf -c 2048 |
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``` |
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|