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README.md

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+---
+license: other
+tags:
+- mlx
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+---
+
+# typealias/llm-compiler-13b-ftd-mlx
+
+The Model [typealias/llm-compiler-13b-ftd-mlx](https://huggingface.co/typealias/llm-compiler-13b-ftd-mlx) was converted to MLX format from [typealias/llm-compiler-13b-ftd](https://huggingface.co/typealias/llm-compiler-13b-ftd) using mlx-lm version **0.15.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("typealias/llm-compiler-13b-ftd-mlx")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+    "architectures": [
+        "LlamaForCausalLM"
+    ],
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+    "bos_token_id": 1,
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+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 13824,
+    "max_position_embeddings": 16384,
+    "model_type": "llama",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 40,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.37.2",
+    "use_cache": true,
+    "vocab_size": 32000
+}

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