Upload folder using huggingface_hub (#1)

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- d99937627d5c7aa23c19cf14b62669664a0b77ab061afe03be9cc3fdf74f3efa (386cbba36867dc16ef9afaa87b1f78d32eae156e)

README.md

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+---
+license: apache-2.0
+library_name: transformers
+tags:
+- code
+- mlx
+datasets:
+- codeparrot/github-code-clean
+- bigcode/starcoderdata
+- open-web-math/open-web-math
+- math-ai/StackMathQA
+metrics:
+- code_eval
+pipeline_tag: text-generation
+inference: false
+model-index:
+- name: granite-3b-code-base
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: MBPP
+      type: mbpp
+    metrics:
+    - type: pass@1
+      value: 36.0
+      name: pass@1
+  - task:
+      type: text-generation
+    dataset:
+      name: MBPP+
+      type: evalplus/mbppplus
+    metrics:
+    - type: pass@1
+      value: 45.1
+      name: pass@1
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEvalSynthesis(Python)
+      type: bigcode/humanevalpack
+    metrics:
+    - type: pass@1
+      value: 36.6
+      name: pass@1
+    - type: pass@1
+      value: 37.2
+      name: pass@1
+    - type: pass@1
+      value: 40.9
+      name: pass@1
+    - type: pass@1
+      value: 26.2
+      name: pass@1
+    - type: pass@1
+      value: 35.4
+      name: pass@1
+    - type: pass@1
+      value: 22.0
+      name: pass@1
+    - type: pass@1
+      value: 25.0
+      name: pass@1
+    - type: pass@1
+      value: 18.9
+      name: pass@1
+    - type: pass@1
+      value: 29.9
+      name: pass@1
+    - type: pass@1
+      value: 17.1
+      name: pass@1
+    - type: pass@1
+      value: 26.8
+      name: pass@1
+    - type: pass@1
+      value: 14.0
+      name: pass@1
+    - type: pass@1
+      value: 18.3
+      name: pass@1
+    - type: pass@1
+      value: 23.2
+      name: pass@1
+    - type: pass@1
+      value: 29.9
+      name: pass@1
+    - type: pass@1
+      value: 24.4
+      name: pass@1
+    - type: pass@1
+      value: 16.5
+      name: pass@1
+    - type: pass@1
+      value: 3.7
+      name: pass@1
+---
+
+# mlx-community/granite-3b-code-base-8bit
+
+The Model [mlx-community/granite-3b-code-base-8bit](https://huggingface.co/mlx-community/granite-3b-code-base-8bit) was converted to MLX format from [ibm-granite/granite-3b-code-base](https://huggingface.co/ibm-granite/granite-3b-code-base) using mlx-lm version **0.12.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/granite-3b-code-base-8bit")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": true,
+    "attention_dropout": 0.1,
+    "bos_token_id": 0,
+    "eos_token_id": 0,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 10240,
+    "max_position_embeddings": 2048,
+    "mlp_bias": true,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 32,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "quantization": {
+        "group_size": 64,
+        "bits": 8
+    },
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.41.0.dev0",
+    "use_cache": true,
+    "vocab_size": 49152
+}

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