upload model

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+granite-34b-code-base.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,242 @@
 ---
+pipeline_tag: text-generation
+inference: true
 license: apache-2.0
+datasets:
+- codeparrot/github-code-clean
+- bigcode/starcoderdata
+# - Stackexchange
+# - CommonCrawl
+- open-web-math/open-web-math
+- math-ai/StackMathQA
+# - Arxiv
+# - Wikipedia
+# - conceptofmind/FLAN_2022 # Original link is broken, we used IBM's filtered version | Phase 2
+metrics:
+- code_eval
+library_name: transformers
+tags:
+- code
+- granite
+model-index:
+- name: granite-34b-code-base
+  results:
+  - task:
+      type: text-generation
+    dataset:
+        type: mbpp
+        name: MBPP
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 47.2
+      verified: false    
+  - task:
+      type: text-generation
+    dataset:
+        type: evalplus/mbppplus 
+        name: MBPP+
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 53.1
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack 
+        name: HumanEvalSynthesis(Python)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 48.2
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name: HumanEvalSynthesis(JavaScript)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 54.9
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name: HumanEvalSynthesis(Java)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 61.6
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name: HumanEvalSynthesis(Go)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 40.2
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name: HumanEvalSynthesis(C++)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 50.0
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name: HumanEvalSynthesis(Rust)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 39.6
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(Python)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 42.7
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(JavaScript)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 26.2
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(Java)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 47.0
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(Go)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 26.8
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(C++)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 36.6
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalExplain(Rust)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 25.0
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(Python)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 20.1
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(JavaScript)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 30.5
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(Java)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 40.9
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(Go)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 34.1
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(C++)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 39.0
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+        type: bigcode/humanevalpack  
+        name:  HumanEvalFix(Rust)
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 12.2
+      verified: false
 ---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62cd5057674cdb524450093d/1hzxoPwqkBJXshKVVe6_9.png)
+
+# ibm-granite/granite-34b-code-base-GGUF
+This is the Q4_K_M converted version of the original [`ibm-granite/granite-34b-code-base`](https://huggingface.co/ibm-granite/granite-34b-code-base).
+Refer to the [original model card](https://huggingface.co/ibm-granite/granite-34b-code-base) for more details.
+
+## Use with llama.cpp
+```shell
+git clone https://github.com/ggerganov/llama.cpp
+cd llama.cpp
+
+# install
+make
+
+# run generation
+./main -m granite-34b-code-base-GGUF/granite-34b-code-base.Q4_K_M.gguf -n 128 -p "def generate_random(x: int):" --color
+```

granite-34b-code-base.Q4_K_M.gguf

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