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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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