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- ._README.md +0 -0
- ._config.json +0 -0
- ._model-00001-of-00002.safetensors +3 -0
- ._model-00002-of-00002.safetensors +3 -0
- ._model.safetensors.index.json +0 -0
- ._special_tokens_map.json +0 -0
- ._tokenizer.json +0 -0
- ._tokenizer_config.json +0 -0
- README.md +34 -0
- config.json +34 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +202 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +129 -0
._README.md
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._config.json
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._model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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._tokenizer.json
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README.md
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---
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language:
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- en
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license: mit
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tags:
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- mlx
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datasets:
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- omi-health/medical-dialogue-to-soap-summary
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metrics:
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- rouge
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title: 'Sum Small: Medical Dialogue to SOAP Summarizer'
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emoji: 📄
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colorFrom: green
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colorTo: pink
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sdk: static
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pinned: false
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---
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# voxmenthe/sum-small-unquantized
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The Model [voxmenthe/sum-small-unquantized](https://huggingface.co/voxmenthe/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**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("voxmenthe/sum-small-unquantized")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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{
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"architectures": [
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"Phi3ForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config",
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"AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 4096,
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"model_type": "phi3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"original_max_position_embeddings": 4096,
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"pad_token_id": 32000,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"sliding_window": 2047,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.0.dev0",
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"use_cache": true,
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"vocab_size": 32064
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}
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tokenizer_config.json
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95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": true,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"32009": {
|
102 |
+
"content": "<|placeholder6|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": true,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"32010": {
|
110 |
+
"content": "<|user|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": true,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
}
|
117 |
+
},
|
118 |
+
"bos_token": "<s>",
|
119 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
|
120 |
+
"clean_up_tokenization_spaces": false,
|
121 |
+
"eos_token": "<|endoftext|>",
|
122 |
+
"model_max_length": 4096,
|
123 |
+
"pad_token": "<|endoftext|>",
|
124 |
+
"padding_side": "right",
|
125 |
+
"sp_model_kwargs": {},
|
126 |
+
"tokenizer_class": "LlamaTokenizer",
|
127 |
+
"unk_token": "<unk>",
|
128 |
+
"use_default_system_prompt": false
|
129 |
+
}
|