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README.md

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+---
+language:
+- code
+license: llama2
+tags:
+- llama-2
+- mlx
+pipeline_tag: text-generation
+---
+
+# mlx-community/CodeLlama-70b-hf-4bit-MLX
+This model was converted to MLX format from [`codellama/CodeLlama-70b-hf`]().
+Refer to the [original model card](https://huggingface.co/codellama/CodeLlama-70b-hf) for more details on the model.
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/CodeLlama-70b-hf-4bit-MLX")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+    "max_position_embeddings": 16384,
+    "hidden_size": 8192,
+    "intermediate_size": 28672,
+    "num_hidden_layers": 80,
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+    "hidden_act": "silu",
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+    "early_stopping": false,
+    "num_beams": 1,
+    "num_beam_groups": 1,
+    "diversity_penalty": 0.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0,
+    "typical_p": 1.0,
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+    "exponential_decay_length_penalty": null,
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+    "architectures": [
+        "LlamaForCausalLM"
+    ],
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+    "id2label": {
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+        "1": "LABEL_1"
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+    "eos_token_id": 2,
+    "sep_token_id": null,
+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "/Users/ifioravanti/.cache/huggingface/hub/models--codellama--CodeLlama-70b-hf/snapshots/4570a4edc524fb9f20f605b417bb43828fa5997a",
+    "transformers_version": "4.36.2",
+    "model_type": "llama",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    }
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false
+}