|
--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- code |
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- llama-cpp |
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- gguf-my-repo |
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base_model: ibm-granite/granite-3b-code-base |
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datasets: |
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- bigcode/commitpackft |
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- TIGER-Lab/MathInstruct |
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- meta-math/MetaMathQA |
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- glaiveai/glaive-code-assistant-v3 |
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- glaive-function-calling-v2 |
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- bugdaryan/sql-create-context-instruction |
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- garage-bAInd/Open-Platypus |
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- nvidia/HelpSteer |
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metrics: |
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- code_eval |
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pipeline_tag: text-generation |
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inference: false |
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model-index: |
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- name: granite-3b-code-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: HumanEvalSynthesis(Python) |
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type: bigcode/humanevalpack |
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metrics: |
|
- type: pass@1 |
|
value: 51.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 43.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 41.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 31.7 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 40.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 29.3 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.6 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 26.8 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 14.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 23.8 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 12.8 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 26.8 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 28.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 33.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 27.4 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 31.7 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 16.5 |
|
name: pass@1 |
|
--- |
|
|
|
# mahiatlinux/granite-3b-code-instruct-Q4_K_M-GGUF |
|
This model was converted to GGUF format from [`ibm-granite/granite-3b-code-instruct`](https://huggingface.co/ibm-granite/granite-3b-code-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-3b-code-instruct) for more details on the model. |
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## Use with llama.cpp |
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|
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Install llama.cpp through brew. |
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|
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```bash |
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brew install ggerganov/ggerganov/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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|
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```bash |
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llama-cli --hf-repo mahiatlinux/granite-3b-code-instruct-Q4_K_M-GGUF --model granite-3b-code-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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|
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```bash |
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llama-server --hf-repo mahiatlinux/granite-3b-code-instruct-Q4_K_M-GGUF --model granite-3b-code-instruct.Q4_K_M.gguf -c 2048 |
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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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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m granite-3b-code-instruct.Q4_K_M.gguf -n 128 |
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``` |
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|
