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.gitattributes CHANGED
@@ -33,3 +33,5 @@ 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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+ tekken.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,231 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ base_model:
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+ - mistralai/Mistral-Small-4-119B-2603
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+ ---
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+
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+ This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [mistralai/Mistral-Small-4-119B-2603](https://huggingface.co/mistralai/Mistral-Small-4-119B-2603).
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+
9
+ | File path | Size |
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+ |------|------|
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+ | model.safetensors | 11.8MB |
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+
13
+
14
+ ### Example usage:
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+
16
+ ```python
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+ import torch
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+ from transformers import AutoProcessor, Mistral3ForConditionalGeneration
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+
20
+ # Load model and tokenizer
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+ model_id = "tiny-random/mistral-small-4"
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+ model = Mistral3ForConditionalGeneration.from_pretrained(
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+ model_id,
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+ device_map="auto",
25
+ torch_dtype="bfloat16",
26
+ trust_remote_code=True,
27
+ )
28
+ processor = AutoProcessor.from_pretrained(model_id)
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+ image_url = "https://static.wikia.nocookie.net/essentialsdocs/images/7/70/Battle.png/revision/latest?cb=20220523172438"
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+ messages = [
31
+ {
32
+ "role": "user",
33
+ "content": [
34
+ {
35
+ "type": "text",
36
+ "text": "What is this?",
37
+ },
38
+ {"type": "image_url", "image_url": {"url": image_url}},
39
+ ],
40
+ },
41
+ ]
42
+ inputs = processor.apply_chat_template(
43
+ messages,
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+ return_tensors="pt",
45
+ tokenize=True,
46
+ return_dict=True,
47
+ reasoning_effort="high",
48
+ )
49
+ inputs = inputs.to(model.device)
50
+
51
+ output = model.generate(
52
+ **inputs,
53
+ max_new_tokens=32,
54
+ do_sample=True,
55
+ temperature=0.7,
56
+ )[0]
57
+ decoded_output = processor.decode(output, skip_special_tokens=False).replace(
58
+ "[IMG]", "I"
59
+ )
60
+ print(decoded_output)
61
+ ```
62
+
63
+ ### Codes to create this repo:
64
+
65
+ <details>
66
+ <summary>Click to expand</summary>
67
+
68
+ ```python
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+ import json
70
+ from pathlib import Path
71
+
72
+ import accelerate
73
+ import torch
74
+ from huggingface_hub import file_exists, hf_hub_download
75
+ from transformers import (
76
+ AutoConfig,
77
+ AutoModelForCausalLM,
78
+ AutoProcessor,
79
+ GenerationConfig,
80
+ Mistral3ForConditionalGeneration,
81
+ MistralCommonBackend,
82
+ set_seed,
83
+ )
84
+
85
+ source_model_id = "mistralai/Mistral-Small-4-119B-2603"
86
+ save_folder = "/tmp/tiny-random/mistral-small-4"
87
+
88
+ processor = AutoProcessor.from_pretrained(source_model_id, trust_remote_code=True)
89
+ processor.save_pretrained(save_folder)
90
+ processor = MistralCommonBackend.from_pretrained(
91
+ source_model_id, trust_remote_code=True
92
+ )
93
+ processor.save_pretrained(save_folder)
94
+
95
+ with open(
96
+ hf_hub_download(source_model_id, filename="config.json", repo_type="model"),
97
+ "r",
98
+ encoding="utf-8",
99
+ ) as f:
100
+ config_json = json.load(f)
101
+
102
+ config_json["text_config"].update(
103
+ {
104
+ "hidden_size": 8,
105
+ "intermediate_size": 32,
106
+ "moe_intermediate_size": 32,
107
+ "num_hidden_layers": 2,
108
+ "q_lora_rank": 32,
109
+ }
110
+ )
111
+ # config_json['tie_word_embeddings'] = True
112
+ config_json["vision_config"].update(
113
+ {
114
+ "head_dim": 32,
115
+ "hidden_size": 64,
116
+ "intermediate_size": 64,
117
+ "num_attention_heads": 2,
118
+ "num_hidden_layers": 2,
119
+ }
120
+ )
121
+ del config_json["quantization_config"]
122
+ with open(f"{save_folder}/config.json", "w", encoding="utf-8") as f:
123
+ json.dump(config_json, f, indent=2)
124
+
125
+ config = AutoConfig.from_pretrained(
126
+ save_folder,
127
+ trust_remote_code=True,
128
+ )
129
+ print(config)
130
+ torch.set_default_dtype(torch.bfloat16)
131
+ model = Mistral3ForConditionalGeneration(config)
132
+ torch.set_default_dtype(torch.float32)
133
+ if file_exists(
134
+ filename="generation_config.json", repo_id=source_model_id, repo_type="model"
135
+ ):
136
+ model.generation_config = GenerationConfig.from_pretrained(
137
+ source_model_id,
138
+ trust_remote_code=True,
139
+ )
140
+ model.generation_config.do_sample = True
141
+ print(model.generation_config)
142
+ model = model.cpu()
143
+ with torch.no_grad():
144
+ for name, p in sorted(model.named_parameters()):
145
+ torch.nn.init.normal_(p, 0, 0.2)
146
+ print(name, p.shape)
147
+ model.save_pretrained(save_folder)
148
+ print(model)
149
+ ```
150
+
151
+ </details>
152
+
153
+ ### Printing the model:
154
+
155
+ <details><summary>Click to expand</summary>
156
+
157
+ ```text
158
+ Mistral3ForConditionalGeneration(
159
+ (model): Mistral3Model(
160
+ (vision_tower): PixtralVisionModel(
161
+ (patch_conv): Conv2d(3, 64, kernel_size=(14, 14), stride=(14, 14), bias=False)
162
+ (ln_pre): PixtralRMSNorm((64,), eps=1e-05)
163
+ (transformer): PixtralTransformer(
164
+ (layers): ModuleList(
165
+ (0-1): 2 x PixtralAttentionLayer(
166
+ (attention_norm): PixtralRMSNorm((64,), eps=1e-05)
167
+ (feed_forward): PixtralMLP(
168
+ (gate_proj): Linear(in_features=64, out_features=64, bias=False)
169
+ (up_proj): Linear(in_features=64, out_features=64, bias=False)
170
+ (down_proj): Linear(in_features=64, out_features=64, bias=False)
171
+ (act_fn): SiLUActivation()
172
+ )
173
+ (attention): PixtralAttention(
174
+ (k_proj): Linear(in_features=64, out_features=64, bias=False)
175
+ (v_proj): Linear(in_features=64, out_features=64, bias=False)
176
+ (q_proj): Linear(in_features=64, out_features=64, bias=False)
177
+ (o_proj): Linear(in_features=64, out_features=64, bias=False)
178
+ )
179
+ (ffn_norm): PixtralRMSNorm((64,), eps=1e-05)
180
+ )
181
+ )
182
+ )
183
+ (patch_positional_embedding): PixtralRotaryEmbedding()
184
+ )
185
+ (multi_modal_projector): Mistral3MultiModalProjector(
186
+ (norm): Mistral3RMSNorm((64,), eps=1e-06)
187
+ (patch_merger): Mistral3PatchMerger(
188
+ (merging_layer): Linear(in_features=256, out_features=64, bias=False)
189
+ )
190
+ (linear_1): Linear(in_features=64, out_features=8, bias=False)
191
+ (act): GELUActivation()
192
+ (linear_2): Linear(in_features=8, out_features=8, bias=False)
193
+ )
194
+ (language_model): Mistral4Model(
195
+ (embed_tokens): Embedding(131072, 8, padding_idx=11)
196
+ (layers): ModuleList(
197
+ (0-1): 2 x Mistral4DecoderLayer(
198
+ (self_attn): Mistral4Attention(
199
+ (q_a_proj): Linear(in_features=8, out_features=32, bias=False)
200
+ (q_a_layernorm): Mistral4RMSNorm((32,), eps=1e-06)
201
+ (q_b_proj): Linear(in_features=32, out_features=4096, bias=False)
202
+ (kv_a_proj_with_mqa): Linear(in_features=8, out_features=320, bias=False)
203
+ (kv_a_layernorm): Mistral4RMSNorm((256,), eps=1e-06)
204
+ (kv_b_proj): Linear(in_features=256, out_features=6144, bias=False)
205
+ (o_proj): Linear(in_features=4096, out_features=8, bias=False)
206
+ )
207
+ (mlp): Mistral4MoE(
208
+ (experts): Mistral4NaiveMoe(
209
+ (act_fn): SiLUActivation()
210
+ )
211
+ (gate): Mistral4TopkRouter()
212
+ (shared_experts): Mistral4MLP(
213
+ (gate_proj): Linear(in_features=8, out_features=32, bias=False)
214
+ (up_proj): Linear(in_features=8, out_features=32, bias=False)
215
+ (down_proj): Linear(in_features=32, out_features=8, bias=False)
216
+ (act_fn): SiLUActivation()
217
+ )
218
+ )
219
+ (input_layernorm): Mistral4RMSNorm((8,), eps=1e-06)
220
+ (post_attention_layernorm): Mistral4RMSNorm((8,), eps=1e-06)
221
+ )
222
+ )
223
+ (norm): Mistral4RMSNorm((8,), eps=1e-06)
224
+ (rotary_emb): Mistral4RotaryEmbedding()
225
+ )
226
+ )
227
+ (lm_head): Linear(in_features=8, out_features=131072, bias=False)
228
+ )
229
+ ```
230
+
231
+ </details>
chat_template.jinja ADDED
@@ -0,0 +1,132 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {#- Default system message if no system prompt is passed. #}
2
+ {%- set default_system_message = '' %}
3
+
4
+ {#- Begin of sequence token. #}
5
+ {{- '<s>' }}
6
+
7
+ {#- Handle system prompt if it exists. #}
8
+ {#- System prompt supports text content or text chunks. #}
9
+ {%- if messages[0]['role'] == 'system' %}
10
+ {{- '[SYSTEM_PROMPT]' -}}
11
+ {%- if messages[0]['content'] is string %}
12
+ {{- messages[0]['content'] -}}
13
+ {%- else %}
14
+ {%- for block in messages[0]['content'] %}
15
+ {%- if block['type'] == 'text' %}
16
+ {{- block['text'] }}
17
+ {%- else %}
18
+ {{- raise_exception('Only text chunks are supported in system message contents.') }}
19
+ {%- endif %}
20
+ {%- endfor %}
21
+ {%- endif %}
22
+ {{- '[/SYSTEM_PROMPT]' -}}
23
+ {%- set loop_messages = messages[1:] %}
24
+ {%- else %}
25
+ {%- set loop_messages = messages %}
26
+ {%- if default_system_message != '' %}
27
+ {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
28
+ {%- endif %}
29
+ {%- endif %}
30
+
31
+
32
+ {#- Tools definition #}
33
+ {%- set tools_definition = '' %}
34
+ {%- set has_tools = false %}
35
+ {%- if tools is defined and tools is not none and tools|length > 0 %}
36
+ {%- set has_tools = true %}
37
+ {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
38
+ {{- tools_definition }}
39
+ {%- endif %}
40
+
41
+ {#- Model settings definition #}
42
+ {%- set reasoning_effort = reasoning_effort if reasoning_effort is defined and reasoning_effort is not none else 'none' %}
43
+ {%- if reasoning_effort not in ['none', 'high'] %}
44
+ {{- raise_exception('reasoning_effort must be either "none" or "high"') }}
45
+ {%- endif %}
46
+ {%- set model_settings = '[MODEL_SETTINGS]{"reasoning_effort": "' + reasoning_effort + '"}[/MODEL_SETTINGS]' %}
47
+ {{- model_settings }}
48
+
49
+ {#- Checks for alternating user/assistant messages. #}
50
+ {%- set ns = namespace(index=0) %}
51
+ {%- for message in loop_messages %}
52
+ {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}
53
+ {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}
54
+ {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}
55
+ {%- endif %}
56
+ {%- set ns.index = ns.index + 1 %}
57
+ {%- endif %}
58
+ {%- endfor %}
59
+
60
+ {#- Handle conversation messages. #}
61
+ {%- for message in loop_messages %}
62
+
63
+ {#- User messages supports text content or text and image chunks. #}
64
+ {%- if message['role'] == 'user' %}
65
+ {%- if message['content'] is string %}
66
+ {{- '[INST]' + message['content'] + '[/INST]' }}
67
+ {%- elif message['content'] | length > 0 %}
68
+ {{- '[INST]' }}
69
+ {%- if message['content'] | length == 2 %}
70
+ {%- set blocks = message['content'] | sort(attribute='type') %}
71
+ {%- else %}
72
+ {%- set blocks = message['content'] %}
73
+ {%- endif %}
74
+ {%- for block in blocks %}
75
+ {%- if block['type'] == 'text' %}
76
+ {{- block['text'] }}
77
+ {%- elif block['type'] in ['image', 'image_url'] %}
78
+ {{- '[IMG]' }}
79
+ {%- else %}
80
+ {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}
81
+ {%- endif %}
82
+ {%- endfor %}
83
+ {{- '[/INST]' }}
84
+ {%- else %}
85
+ {{- raise_exception('User message must have a string or a list of chunks in content') }}
86
+ {%- endif %}
87
+
88
+ {#- Assistant messages supports text content or text, image and thinking chunks. #}
89
+ {%- elif message['role'] == 'assistant' %}
90
+ {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}
91
+ {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}
92
+ {%- endif %}
93
+
94
+ {%- if message['content'] is string and message['content'] != '' %}
95
+ {{- message['content'] }}
96
+ {%- elif message['content'] | length > 0 %}
97
+ {%- for block in message['content'] %}
98
+ {%- if block['type'] == 'text' %}
99
+ {{- block['text'] }}
100
+ {%- elif block['type'] == 'thinking' %}
101
+ {{- '[THINK]' + block['thinking'] + '[/THINK]' }}
102
+ {%- else %}
103
+ {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}
104
+ {%- endif %}
105
+ {%- endfor %}
106
+ {%- endif %}
107
+
108
+ {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
109
+ {%- for tool in message['tool_calls'] %}
110
+ {{- '[TOOL_CALLS]' }}
111
+ {%- set name = tool['function']['name'] %}
112
+ {%- set arguments = tool['function']['arguments'] %}
113
+ {%- if arguments is not string %}
114
+ {%- set arguments = arguments|tojson|safe %}
115
+ {%- elif arguments == '' %}
116
+ {%- set arguments = '{}' %}
117
+ {%- endif %}
118
+ {{- name + '[ARGS]' + arguments }}
119
+ {%- endfor %}
120
+ {%- endif %}
121
+
122
+ {{- '</s>' }}
123
+
124
+ {#- Tool messages only supports text content. #}
125
+ {%- elif message['role'] == 'tool' %}
126
+ {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
127
+
128
+ {#- Raise exception for unsupported roles. #}
129
+ {%- else %}
130
+ {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}
131
+ {%- endif %}
132
+ {%- endfor %}
config.json ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Mistral3ForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "image_token_index": 10,
7
+ "model_type": "mistral3",
8
+ "multimodal_projector_bias": false,
9
+ "projector_hidden_act": "gelu",
10
+ "spatial_merge_size": 2,
11
+ "text_config": {
12
+ "attention_bias": false,
13
+ "attention_dropout": 0.0,
14
+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "first_k_dense_replace": 0,
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+ "head_dim": 128,
18
+ "hidden_act": "silu",
19
+ "hidden_size": 8,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 32,
22
+ "kv_lora_rank": 256,
23
+ "max_position_embeddings": 1048576,
24
+ "mlp_bias": false,
25
+ "model_type": "mistral4",
26
+ "moe_intermediate_size": 32,
27
+ "n_group": 1,
28
+ "n_routed_experts": 128,
29
+ "n_shared_experts": 1,
30
+ "norm_topk_prob": true,
31
+ "num_attention_heads": 32,
32
+ "num_experts_per_tok": 4,
33
+ "num_hidden_layers": 2,
34
+ "num_key_value_heads": 32,
35
+ "pad_token_id": 11,
36
+ "pretraining_tp": 1,
37
+ "q_lora_rank": 32,
38
+ "qk_head_dim": 128,
39
+ "qk_nope_head_dim": 64,
40
+ "qk_rope_head_dim": 64,
41
+ "rms_norm_eps": 1e-06,
42
+ "rope_interleave": true,
43
+ "rope_parameters": {
44
+ "beta_fast": 32.0,
45
+ "beta_slow": 1.0,
46
+ "factor": 128.0,
47
+ "llama_4_scaling_beta": 0.1,
48
+ "mscale": 1.0,
49
+ "mscale_all_dim": 1.0,
50
+ "original_max_position_embeddings": 8192,
51
+ "partial_rotary_factor": 0.5,
52
+ "rope_theta": 10000.0,
53
+ "rope_type": "yarn",
54
+ "type": "yarn"
55
+ },
56
+ "routed_scaling_factor": 1.0,
57
+ "sliding_window": null,
58
+ "tie_word_embeddings": false,
59
+ "topk_group": 1,
60
+ "use_cache": true,
61
+ "v_head_dim": 128,
62
+ "vocab_size": 131072
63
+ },
64
+ "tie_word_embeddings": false,
65
+ "transformers_version": "5.5.0",
66
+ "vision_config": {
67
+ "attention_dropout": 0.0,
68
+ "head_dim": 32,
69
+ "hidden_act": "silu",
70
+ "hidden_size": 64,
71
+ "image_size": 1540,
72
+ "initializer_range": 0.02,
73
+ "intermediate_size": 64,
74
+ "model_type": "pixtral",
75
+ "num_attention_heads": 2,
76
+ "num_channels": 3,
77
+ "num_hidden_layers": 2,
78
+ "patch_size": 14,
79
+ "rope_parameters": {
80
+ "rope_theta": 10000.0,
81
+ "rope_type": "default"
82
+ }
83
+ },
84
+ "vision_feature_layer": -1
85
+ }
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 1048576,
6
+ "pad_token_id": 11,
7
+ "transformers_version": "5.5.0",
8
+ "trust_remote_code": true
9
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:39e35604ca206e047e7e1718cfc35a49e45f0edf84a510a1b7736104ac7f0a64
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+ size 11786064
processor_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_break_token": "[IMG_BREAK]",
3
+ "image_end_token": "[IMG_END]",
4
+ "image_processor": {
5
+ "data_format": "channels_first",
6
+ "do_convert_rgb": true,
7
+ "do_normalize": true,
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