Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +42 -0
- added_tokens.json +3 -0
- chat_template.jinja +47 -0
- config.json +297 -0
- generation_config.json +10 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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license_name: health-ai-developer-foundations
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license_link: https://developers.google.com/health-ai-developer-foundations/terms
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library_name: transformers
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pipeline_tag: image-text-to-text
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language: en
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extra_gated_heading: Access MedGemma on Hugging Face
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extra_gated_prompt: To access MedGemma on Hugging Face, you're required to review
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and agree to [Health AI Developer Foundation's terms of use](https://developers.google.com/health-ai-developer-foundations/terms).
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To do this, please ensure you're logged in to Hugging Face and click below. Requests
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are processed immediately.
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extra_gated_button_content: Acknowledge license
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tags:
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- medical
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- x-ray
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- pathology
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- dermatology
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- fundus
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- radiology report generation
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- chest-x-ray
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- medical-embeddings
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- image-classification
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- zero-shot-image-classification
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- image-feature-extraction
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- image-text-to-text
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- mlx
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base_model: google/gemma-3-27b-pt
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---
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# mlx-community/medgemma-27b-it-bf16
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This model was converted to MLX format from [`google/medgemma-27b-it`]() using mlx-vlm version **0.3.0**.
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Refer to the [original model card](https://huggingface.co/google/medgemma-27b-it) for more details on the model.
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## Use with mlx
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```bash
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pip install -U mlx-vlm
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```
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```bash
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python -m mlx_vlm.generate --model mlx-community/medgemma-27b-it-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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```
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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config.json
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{
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"add_cross_attention": false,
|
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"architectures": [
|
4 |
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"Gemma3ForConditionalGeneration"
|
5 |
+
],
|
6 |
+
"bad_words_ids": null,
|
7 |
+
"begin_suppress_tokens": null,
|
8 |
+
"boi_token_index": 255999,
|
9 |
+
"bos_token_id": null,
|
10 |
+
"chunk_size_feed_forward": 0,
|
11 |
+
"cross_attention_hidden_size": null,
|
12 |
+
"decoder_start_token_id": null,
|
13 |
+
"diversity_penalty": 0.0,
|
14 |
+
"do_sample": false,
|
15 |
+
"early_stopping": false,
|
16 |
+
"encoder_no_repeat_ngram_size": 0,
|
17 |
+
"eoi_token_index": 256000,
|
18 |
+
"eos_token_id": [
|
19 |
+
1,
|
20 |
+
106
|
21 |
+
],
|
22 |
+
"exponential_decay_length_penalty": null,
|
23 |
+
"finetuning_task": null,
|
24 |
+
"forced_bos_token_id": null,
|
25 |
+
"forced_eos_token_id": null,
|
26 |
+
"id2label": {
|
27 |
+
"0": "LABEL_0",
|
28 |
+
"1": "LABEL_1"
|
29 |
+
},
|
30 |
+
"image_token_index": 262144,
|
31 |
+
"initializer_range": 0.02,
|
32 |
+
"is_decoder": false,
|
33 |
+
"is_encoder_decoder": false,
|
34 |
+
"label2id": {
|
35 |
+
"LABEL_0": 0,
|
36 |
+
"LABEL_1": 1
|
37 |
+
},
|
38 |
+
"length_penalty": 1.0,
|
39 |
+
"max_length": 20,
|
40 |
+
"min_length": 0,
|
41 |
+
"mm_tokens_per_image": 256,
|
42 |
+
"model_type": "gemma3",
|
43 |
+
"no_repeat_ngram_size": 0,
|
44 |
+
"num_beam_groups": 1,
|
45 |
+
"num_beams": 1,
|
46 |
+
"num_return_sequences": 1,
|
47 |
+
"output_attentions": false,
|
48 |
+
"output_hidden_states": false,
|
49 |
+
"output_scores": false,
|
50 |
+
"pad_token_id": null,
|
51 |
+
"prefix": null,
|
52 |
+
"problem_type": null,
|
53 |
+
"pruned_heads": {},
|
54 |
+
"remove_invalid_values": false,
|
55 |
+
"repetition_penalty": 1.0,
|
56 |
+
"return_dict": true,
|
57 |
+
"return_dict_in_generate": false,
|
58 |
+
"sep_token_id": null,
|
59 |
+
"suppress_tokens": null,
|
60 |
+
"task_specific_params": null,
|
61 |
+
"temperature": 1.0,
|
62 |
+
"text_config": {
|
63 |
+
"return_dict": true,
|
64 |
+
"output_hidden_states": false,
|
65 |
+
"torchscript": false,
|
66 |
+
"torch_dtype": "bfloat16",
|
67 |
+
"use_bfloat16": false,
|
68 |
+
"tf_legacy_loss": false,
|
69 |
+
"pruned_heads": {},
|
70 |
+
"tie_word_embeddings": true,
|
71 |
+
"chunk_size_feed_forward": 0,
|
72 |
+
"is_encoder_decoder": false,
|
73 |
+
"is_decoder": false,
|
74 |
+
"cross_attention_hidden_size": null,
|
75 |
+
"add_cross_attention": false,
|
76 |
+
"tie_encoder_decoder": false,
|
77 |
+
"max_length": 20,
|
78 |
+
"min_length": 0,
|
79 |
+
"do_sample": false,
|
80 |
+
"early_stopping": false,
|
81 |
+
"num_beams": 1,
|
82 |
+
"num_beam_groups": 1,
|
83 |
+
"diversity_penalty": 0.0,
|
84 |
+
"temperature": 1.0,
|
85 |
+
"top_k": 50,
|
86 |
+
"top_p": 1.0,
|
87 |
+
"typical_p": 1.0,
|
88 |
+
"repetition_penalty": 1.0,
|
89 |
+
"length_penalty": 1.0,
|
90 |
+
"no_repeat_ngram_size": 0,
|
91 |
+
"encoder_no_repeat_ngram_size": 0,
|
92 |
+
"bad_words_ids": null,
|
93 |
+
"num_return_sequences": 1,
|
94 |
+
"output_scores": false,
|
95 |
+
"return_dict_in_generate": false,
|
96 |
+
"forced_bos_token_id": null,
|
97 |
+
"forced_eos_token_id": null,
|
98 |
+
"remove_invalid_values": false,
|
99 |
+
"exponential_decay_length_penalty": null,
|
100 |
+
"suppress_tokens": null,
|
101 |
+
"begin_suppress_tokens": null,
|
102 |
+
"architectures": null,
|
103 |
+
"finetuning_task": null,
|
104 |
+
"id2label": {
|
105 |
+
"0": "LABEL_0",
|
106 |
+
"1": "LABEL_1"
|
107 |
+
},
|
108 |
+
"label2id": {
|
109 |
+
"LABEL_0": 0,
|
110 |
+
"LABEL_1": 1
|
111 |
+
},
|
112 |
+
"tokenizer_class": null,
|
113 |
+
"prefix": null,
|
114 |
+
"bos_token_id": 2,
|
115 |
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"pad_token_id": 0,
|
116 |
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"eos_token_id": 1,
|
117 |
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"sep_token_id": null,
|
118 |
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"decoder_start_token_id": null,
|
119 |
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"task_specific_params": null,
|
120 |
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"problem_type": null,
|
121 |
+
"_name_or_path": "",
|
122 |
+
"model_type": "gemma3_text",
|
123 |
+
"vocab_size": 262208,
|
124 |
+
"max_position_embeddings": 131072,
|
125 |
+
"hidden_size": 5376,
|
126 |
+
"intermediate_size": 21504,
|
127 |
+
"num_hidden_layers": 62,
|
128 |
+
"num_attention_heads": 32,
|
129 |
+
"head_dim": 128,
|
130 |
+
"num_key_value_heads": 16,
|
131 |
+
"initializer_range": 0.02,
|
132 |
+
"rms_norm_eps": 1e-06,
|
133 |
+
"use_cache": true,
|
134 |
+
"rope_theta": 1000000,
|
135 |
+
"attention_bias": false,
|
136 |
+
"attention_dropout": 0.0,
|
137 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
138 |
+
"query_pre_attn_scalar": 168,
|
139 |
+
"sliding_window": 1024,
|
140 |
+
"final_logit_softcapping": null,
|
141 |
+
"attn_logit_softcapping": null,
|
142 |
+
"layer_types": [
|
143 |
+
"sliding_attention",
|
144 |
+
"sliding_attention",
|
145 |
+
"sliding_attention",
|
146 |
+
"sliding_attention",
|
147 |
+
"sliding_attention",
|
148 |
+
"full_attention",
|
149 |
+
"sliding_attention",
|
150 |
+
"sliding_attention",
|
151 |
+
"sliding_attention",
|
152 |
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