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README.md

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+---
+language:
+- en
+license: mit
+tags:
+- mlx
+datasets:
+- omi-health/medical-dialogue-to-soap-summary
+metrics:
+- rouge
+title: 'Sum Small: Medical Dialogue to SOAP Summarizer'
+emoji: 📄
+colorFrom: green
+colorTo: pink
+sdk: static
+pinned: false
+---
+
+# mlx-community/sum-small-unquantized
+
+The Model [mlx-community/sum-small-unquantized](https://huggingface.co/mlx-community/sum-small-unquantized) was converted to MLX format from [omi-health/sum-small](https://huggingface.co/omi-health/sum-small) 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/sum-small-unquantized")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "Phi3ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "auto_map": {
+        "AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config",
+        "AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"
+    },
+    "bos_token_id": 1,
+    "embd_pdrop": 0.0,
+    "eos_token_id": 32000,
+    "hidden_act": "silu",
+    "hidden_size": 3072,
+    "initializer_range": 0.02,
+    "intermediate_size": 8192,
+    "max_position_embeddings": 4096,
+    "model_type": "phi3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 32,
+    "original_max_position_embeddings": 4096,
+    "pad_token_id": 32000,
+    "resid_pdrop": 0.0,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "sliding_window": 2047,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.41.0.dev0",
+    "use_cache": true,
+    "vocab_size": 32064
+}

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