Text Generation
Transformers
GGUF
code
granite
llama-cpp
gguf-my-repo
Eval Results
Inference Endpoints
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+ ---
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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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+ - granite
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+ - llama-cpp
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+ - gguf-my-repo
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+ base_model: ibm-granite/granite-20b-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: true
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+ model-index:
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+ - name: granite-20b-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: 60.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 53.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 58.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 42.1
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+ name: pass@1
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+ - type: pass@1
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+ value: 45.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 42.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 44.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 42.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 49.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 32.3
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+ name: pass@1
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+ - type: pass@1
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+ value: 42.1
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+ name: pass@1
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+ - type: pass@1
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+ value: 18.3
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+ name: pass@1
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+ - type: pass@1
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+ value: 43.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 43.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 45.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 41.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 41.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 29.9
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+ name: pass@1
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+ ---
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+
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+ # newsletter/granite-20b-code-instruct-Q6_K-GGUF
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+ This model was converted to GGUF format from [`ibm-granite/granite-20b-code-instruct`](https://huggingface.co/ibm-granite/granite-20b-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-20b-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 newsletter/granite-20b-code-instruct-Q6_K-GGUF --model granite-20b-code-instruct.Q6_K.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 newsletter/granite-20b-code-instruct-Q6_K-GGUF --model granite-20b-code-instruct.Q6_K.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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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m granite-20b-code-instruct.Q6_K.gguf -n 128
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+ ```