(Trained with Unsloth)
Browse files- chat_template.json +3 -0
- config.json +224 -0
- generation_config.json +11 -0
- model.safetensors.index.json +913 -0
- preprocessor_config.json +26 -0
chat_template.json
ADDED
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{
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"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- Find out if there are any images #}\n{% set image_ns = namespace(has_images=false) %} \n{%- for message in messages %}\n {%- for content in message['content'] %}\n {%- if content['type'] == 'image' %}\n {%- set image_ns.has_images = true %}\n {%- endif %}\n {%- endfor %}\n{%- endfor %}\n\n{#- Error out if there are images and system message #}\n{%- if image_ns.has_images and not system_message == \"\" %}\n {{- raise_exception(\"Prompting with images is incompatible with system messages.\") }}\n{%- endif %}\n\n{#- System message if there are no images #}\n{%- if not image_ns.has_images %}\n {{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n {%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n {%- endif %}\n {{- \"Cutting Knowledge Date: December 2023\\n\" }}\n {{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n {%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {%- endif %}\n {{- system_message }}\n {{- \"<|eot_id|>\" }}\n{%- endif %}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n' }}\n {%- if message['content'] is string %}\n {{- message['content'] }}\n {%- else %}\n {%- for content in message['content'] %}\n {%- if content['type'] == 'image' %}\n {{- '<|image|>' }}\n {%- elif content['type'] == 'text' %}\n {{- content['text'] }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n"
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}
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config.json
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{
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"_name_or_path": "Xkev/Llama-3.2V-11B-cot",
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| 3 |
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"architectures": [
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"MllamaForConditionalGeneration"
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],
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"image_token_index": 128256,
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"model_type": "mllama",
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"text_config": {
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+
"_name_or_path": "",
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| 10 |
+
"add_cross_attention": false,
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| 11 |
+
"architectures": null,
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| 12 |
+
"bad_words_ids": null,
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| 13 |
+
"begin_suppress_tokens": null,
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| 14 |
+
"bos_token_id": 128000,
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| 15 |
+
"chunk_size_feed_forward": 0,
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| 16 |
+
"cross_attention_hidden_size": null,
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| 17 |
+
"cross_attention_layers": [
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3,
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8,
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+
13,
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+
18,
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23,
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28,
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+
33,
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+
38
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],
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| 27 |
+
"decoder_start_token_id": null,
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| 28 |
+
"diversity_penalty": 0.0,
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| 29 |
+
"do_sample": false,
|
| 30 |
+
"dropout": 0,
|
| 31 |
+
"early_stopping": false,
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| 32 |
+
"encoder_no_repeat_ngram_size": 0,
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| 33 |
+
"eos_token_id": [
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| 34 |
+
128001,
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| 35 |
+
128008,
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| 36 |
+
128009
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| 37 |
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],
|
| 38 |
+
"exponential_decay_length_penalty": null,
|
| 39 |
+
"finetuning_task": null,
|
| 40 |
+
"forced_bos_token_id": null,
|
| 41 |
+
"forced_eos_token_id": null,
|
| 42 |
+
"hidden_act": "silu",
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| 43 |
+
"hidden_size": 4096,
|
| 44 |
+
"id2label": {
|
| 45 |
+
"0": "LABEL_0",
|
| 46 |
+
"1": "LABEL_1"
|
| 47 |
+
},
|
| 48 |
+
"initializer_range": 0.02,
|
| 49 |
+
"intermediate_size": 14336,
|
| 50 |
+
"is_decoder": false,
|
| 51 |
+
"is_encoder_decoder": false,
|
| 52 |
+
"label2id": {
|
| 53 |
+
"LABEL_0": 0,
|
| 54 |
+
"LABEL_1": 1
|
| 55 |
+
},
|
| 56 |
+
"length_penalty": 1.0,
|
| 57 |
+
"max_length": 20,
|
| 58 |
+
"max_position_embeddings": 131072,
|
| 59 |
+
"min_length": 0,
|
| 60 |
+
"model_type": "mllama_text_model",
|
| 61 |
+
"no_repeat_ngram_size": 0,
|
| 62 |
+
"num_attention_heads": 32,
|
| 63 |
+
"num_beam_groups": 1,
|
| 64 |
+
"num_beams": 1,
|
| 65 |
+
"num_hidden_layers": 40,
|
| 66 |
+
"num_key_value_heads": 8,
|
| 67 |
+
"num_return_sequences": 1,
|
| 68 |
+
"output_attentions": false,
|
| 69 |
+
"output_hidden_states": false,
|
| 70 |
+
"output_scores": false,
|
| 71 |
+
"pad_token_id": 128004,
|
| 72 |
+
"prefix": null,
|
| 73 |
+
"problem_type": null,
|
| 74 |
+
"pruned_heads": {},
|
| 75 |
+
"remove_invalid_values": false,
|
| 76 |
+
"repetition_penalty": 1.0,
|
| 77 |
+
"return_dict": true,
|
| 78 |
+
"return_dict_in_generate": false,
|
| 79 |
+
"rms_norm_eps": 1e-05,
|
| 80 |
+
"rope_scaling": {
|
| 81 |
+
"factor": 8.0,
|
| 82 |
+
"high_freq_factor": 4.0,
|
| 83 |
+
"low_freq_factor": 1.0,
|
| 84 |
+
"original_max_position_embeddings": 8192,
|
| 85 |
+
"rope_type": "llama3"
|
| 86 |
+
},
|
| 87 |
+
"rope_theta": 500000.0,
|
| 88 |
+
"sep_token_id": null,
|
| 89 |
+
"suppress_tokens": null,
|
| 90 |
+
"task_specific_params": null,
|
| 91 |
+
"temperature": 1.0,
|
| 92 |
+
"tf_legacy_loss": false,
|
| 93 |
+
"tie_encoder_decoder": false,
|
| 94 |
+
"tie_word_embeddings": false,
|
| 95 |
+
"tokenizer_class": null,
|
| 96 |
+
"top_k": 50,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"torch_dtype": "bfloat16",
|
| 99 |
+
"torchscript": false,
|
| 100 |
+
"typical_p": 1.0,
|
| 101 |
+
"use_bfloat16": false,
|
| 102 |
+
"use_cache": true,
|
| 103 |
+
"vocab_size": 128256
|
| 104 |
+
},
|
| 105 |
+
"torch_dtype": "float32",
|
| 106 |
+
"transformers_version": "4.45.2",
|
| 107 |
+
"vision_config": {
|
| 108 |
+
"_name_or_path": "",
|
| 109 |
+
"add_cross_attention": false,
|
| 110 |
+
"architectures": null,
|
| 111 |
+
"attention_heads": 16,
|
| 112 |
+
"bad_words_ids": null,
|
| 113 |
+
"begin_suppress_tokens": null,
|
| 114 |
+
"bos_token_id": null,
|
| 115 |
+
"chunk_size_feed_forward": 0,
|
| 116 |
+
"cross_attention_hidden_size": null,
|
| 117 |
+
"decoder_start_token_id": null,
|
| 118 |
+
"diversity_penalty": 0.0,
|
| 119 |
+
"do_sample": false,
|
| 120 |
+
"early_stopping": false,
|
| 121 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 122 |
+
"eos_token_id": null,
|
| 123 |
+
"exponential_decay_length_penalty": null,
|
| 124 |
+
"finetuning_task": null,
|
| 125 |
+
"forced_bos_token_id": null,
|
| 126 |
+
"forced_eos_token_id": null,
|
| 127 |
+
"hidden_act": "gelu",
|
| 128 |
+
"hidden_size": 1280,
|
| 129 |
+
"id2label": {
|
| 130 |
+
"0": "LABEL_0",
|
| 131 |
+
"1": "LABEL_1"
|
| 132 |
+
},
|
| 133 |
+
"image_size": 560,
|
| 134 |
+
"initializer_range": 0.02,
|
| 135 |
+
"intermediate_layers_indices": [
|
| 136 |
+
3,
|
| 137 |
+
7,
|
| 138 |
+
15,
|
| 139 |
+
23,
|
| 140 |
+
30
|
| 141 |
+
],
|
| 142 |
+
"intermediate_size": 5120,
|
| 143 |
+
"is_decoder": false,
|
| 144 |
+
"is_encoder_decoder": false,
|
| 145 |
+
"label2id": {
|
| 146 |
+
"LABEL_0": 0,
|
| 147 |
+
"LABEL_1": 1
|
| 148 |
+
},
|
| 149 |
+
"length_penalty": 1.0,
|
| 150 |
+
"max_length": 20,
|
| 151 |
+
"max_num_tiles": 4,
|
| 152 |
+
"min_length": 0,
|
| 153 |
+
"model_type": "mllama_vision_model",
|
| 154 |
+
"no_repeat_ngram_size": 0,
|
| 155 |
+
"norm_eps": 1e-05,
|
| 156 |
+
"num_beam_groups": 1,
|
| 157 |
+
"num_beams": 1,
|
| 158 |
+
"num_channels": 3,
|
| 159 |
+
"num_global_layers": 8,
|
| 160 |
+
"num_hidden_layers": 32,
|
| 161 |
+
"num_return_sequences": 1,
|
| 162 |
+
"output_attentions": false,
|
| 163 |
+
"output_hidden_states": false,
|
| 164 |
+
"output_scores": false,
|
| 165 |
+
"pad_token_id": null,
|
| 166 |
+
"patch_size": 14,
|
| 167 |
+
"prefix": null,
|
| 168 |
+
"problem_type": null,
|
| 169 |
+
"pruned_heads": {},
|
| 170 |
+
"remove_invalid_values": false,
|
| 171 |
+
"repetition_penalty": 1.0,
|
| 172 |
+
"return_dict": true,
|
| 173 |
+
"return_dict_in_generate": false,
|
| 174 |
+
"sep_token_id": null,
|
| 175 |
+
"supported_aspect_ratios": [
|
| 176 |
+
[
|
| 177 |
+
1,
|
| 178 |
+
1
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
1,
|
| 182 |
+
2
|
| 183 |
+
],
|
| 184 |
+
[
|
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+
1,
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| 186 |
+
3
|
| 187 |
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],
|
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[
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1,
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+
4
|
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],
|
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[
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2,
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+
1
|
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+
],
|
| 196 |
+
[
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+
2,
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| 198 |
+
2
|
| 199 |
+
],
|
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[
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3,
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| 202 |
+
1
|
| 203 |
+
],
|
| 204 |
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[
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| 205 |
+
4,
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| 206 |
+
1
|
| 207 |
+
]
|
| 208 |
+
],
|
| 209 |
+
"suppress_tokens": null,
|
| 210 |
+
"task_specific_params": null,
|
| 211 |
+
"temperature": 1.0,
|
| 212 |
+
"tf_legacy_loss": false,
|
| 213 |
+
"tie_encoder_decoder": false,
|
| 214 |
+
"tie_word_embeddings": true,
|
| 215 |
+
"tokenizer_class": null,
|
| 216 |
+
"top_k": 50,
|
| 217 |
+
"top_p": 1.0,
|
| 218 |
+
"torch_dtype": "bfloat16",
|
| 219 |
+
"torchscript": false,
|
| 220 |
+
"typical_p": 1.0,
|
| 221 |
+
"use_bfloat16": false,
|
| 222 |
+
"vision_output_dim": 7680
|
| 223 |
+
}
|
| 224 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 128000,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
128001,
|
| 6 |
+
128008,
|
| 7 |
+
128009
|
| 8 |
+
],
|
| 9 |
+
"pad_token_id": 128004,
|
| 10 |
+
"transformers_version": "4.45.2"
|
| 11 |
+
}
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,913 @@
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|
| 912 |
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|
| 913 |
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}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_pad": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.48145466,
|
| 9 |
+
0.4578275,
|
| 10 |
+
0.40821073
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "MllamaImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.26862954,
|
| 15 |
+
0.26130258,
|
| 16 |
+
0.27577711
|
| 17 |
+
],
|
| 18 |
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"max_image_tiles": 4,
|
| 19 |
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"processor_class": "MllamaProcessor",
|
| 20 |
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"resample": 2,
|
| 21 |
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"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
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"height": 560,
|
| 24 |
+
"width": 560
|
| 25 |
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}
|
| 26 |
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}
|