|
--- |
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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-8b-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-8b-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: |
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- type: pass@1 |
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value: 57.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 52.4 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 58.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 43.3 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 48.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 37.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 53.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 42.7 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 52.4 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 36.6 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 43.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 16.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.6 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 40.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 48.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 41.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 32.9 |
|
name: pass@1 |
|
--- |
|
|
|
# Sagicc/granite-8b-code-instruct-Q5_K_M-GGUF |
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This model was converted to GGUF format from [`ibm-granite/granite-8b-code-instruct`](https://huggingface.co/ibm-granite/granite-8b-code-instruct) using llama.cpp after addded support for small Granite Code models in b3026 ['llama.cpp release'](https://github.com/ggerganov/llama.cpp/releases/tag/b3026). |
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Refer to the [original model card](https://huggingface.co/ibm-granite/granite-8b-code-instruct) for more details on the model. |
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|
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## For now only works with llama.cpp |
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|
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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 Sagicc/granite-8b-code-instruct-Q5_K_M-GGUF --model granite-8b-code-instruct.Q5_K_M.gguf -p "You are an AI assistant" |
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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 Sagicc/granite-8b-code-instruct-Q5_K_M-GGUF --model granite-8b-code-instruct.Q5_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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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m granite-8b-code-instruct.Q5_K_M.gguf -n 128 |
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``` |
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|
