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README.md

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+---
+license: apache-2.0
+library_name: transformers
+tags:
+- code
+- granite
+- mlx
+base_model: ibm-granite/granite-34b-code-base
+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
+metrics:
+- code_eval
+pipeline_tag: text-generation
+inference: true
+model-index:
+- name: granite-34b-code-instruct
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEvalSynthesis(Python)
+      type: bigcode/humanevalpack
+    metrics:
+    - type: pass@1
+      value: 62.2
+      name: pass@1
+    - type: pass@1
+      value: 56.7
+      name: pass@1
+    - type: pass@1
+      value: 62.8
+      name: pass@1
+    - type: pass@1
+      value: 47.6
+      name: pass@1
+    - type: pass@1
+      value: 57.9
+      name: pass@1
+    - type: pass@1
+      value: 41.5
+      name: pass@1
+    - type: pass@1
+      value: 53.0
+      name: pass@1
+    - type: pass@1
+      value: 45.1
+      name: pass@1
+    - type: pass@1
+      value: 50.6
+      name: pass@1
+    - type: pass@1
+      value: 36.0
+      name: pass@1
+    - type: pass@1
+      value: 42.7
+      name: pass@1
+    - type: pass@1
+      value: 23.8
+      name: pass@1
+    - type: pass@1
+      value: 54.9
+      name: pass@1
+    - type: pass@1
+      value: 47.6
+      name: pass@1
+    - type: pass@1
+      value: 55.5
+      name: pass@1
+    - type: pass@1
+      value: 51.2
+      name: pass@1
+    - type: pass@1
+      value: 47.0
+      name: pass@1
+    - type: pass@1
+      value: 45.1
+      name: pass@1
+---
+
+# mlx-community/granite-34b-code-instruct-8bit
+
+The Model [mlx-community/granite-34b-code-instruct-8bit](https://huggingface.co/mlx-community/granite-34b-code-instruct-8bit) was converted to MLX format from [ibm-granite/granite-34b-code-instruct](https://huggingface.co/ibm-granite/granite-34b-code-instruct) using mlx-lm version **0.13.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/granite-34b-code-instruct-8bit")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
+    "activation_function": "gelu_pytorch_tanh",
+    "architectures": [
+        "GPTBigCodeForCausalLM"
+    ],
+    "attention_softmax_in_fp32": true,
+    "attn_pdrop": 0.1,
+    "bos_token_id": 0,
+    "embd_pdrop": 0.1,
+    "eos_token_id": 0,
+    "initializer_range": 0.02,
+    "layer_norm_epsilon": 1e-05,
+    "model_type": "gpt_bigcode",
+    "multi_query": true,
+    "n_embd": 6144,
+    "n_head": 48,
+    "n_inner": 24576,
+    "n_layer": 88,
+    "n_positions": 8192,
+    "pad_token_id": 0,
+    "quantization": {
+        "group_size": 64,
+        "bits": 8
+    },
+    "resid_pdrop": 0.1,
+    "scale_attention_softmax_in_fp32": true,
+    "scale_attn_weights": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.41.0.dev0",
+    "use_cache": true,
+    "vocab_size": 49152
+}

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tokenizer_config.json

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+}