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README.md

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+---
+base_model: ibm-granite/granite-8b-code-instruct-4k
+datasets:
+- bigcode/commitpackft
+- TIGER-Lab/MathInstruct
+- meta-math/MetaMathQA
+- glaiveai/glaive-code-assistant-v3
+- glaive-function-calling-v2
+- bugdaryan/sql-create-context-instruction
+- garage-bAInd/Open-Platypus
+- nvidia/HelpSteer
+library_name: transformers
+license: apache-2.0
+metrics:
+- code_eval
+pipeline_tag: text-generation
+tags:
+- code
+- granite
+- llama-cpp
+- gguf-my-repo
+inference: false
+model-index:
+- name: granite-8b-code-instruct-4k
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEvalSynthesis(Python)
+      type: bigcode/humanevalpack
+    metrics:
+    - type: pass@1
+      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
+---
+
+# Triangle104/granite-8b-code-instruct-4k-Q4_0-GGUF
+This model was converted to GGUF format from [`ibm-granite/granite-8b-code-instruct-4k`](https://huggingface.co/ibm-granite/granite-8b-code-instruct-4k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/ibm-granite/granite-8b-code-instruct-4k) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo Triangle104/granite-8b-code-instruct-4k-Q4_0-GGUF --hf-file granite-8b-code-instruct-4k-q4_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Triangle104/granite-8b-code-instruct-4k-Q4_0-GGUF --hf-file granite-8b-code-instruct-4k-q4_0.gguf -c 2048
+```
+
+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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+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).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Triangle104/granite-8b-code-instruct-4k-Q4_0-GGUF --hf-file granite-8b-code-instruct-4k-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Triangle104/granite-8b-code-instruct-4k-Q4_0-GGUF --hf-file granite-8b-code-instruct-4k-q4_0.gguf -c 2048
+```