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Browse files- README.md +28 -0
- config.json +87 -0
- model.safetensors +3 -0
- preprocessor_config.json +23 -0
- processor_config.json +9 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +11 -0
README.md
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---
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license: mit
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license_name: deepseek
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license_link: LICENSE
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pipeline_tag: text-generation
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library_name: transformers
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base_model:
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- deepseek-ai/Janus-Pro-1B
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tags:
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- chat
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---
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This model is derived from https://huggingface.co/deepseek-ai/Janus-Pro-1B and the main modifications are as follows
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- bin files are updated to safetensors
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- Add chat_template
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`4bit` mainly refers to quantifying the LLM part to 4 bits.
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## Quick Start
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In Macos (Apple silicon), use [mlx](https://github.com/ml-explore/mlx) framework https://github.com/wnma3mz/tLLM
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```bash
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tllm.server --model_path $MODEL_PATH --hostname localhost --is_local --client_size 1
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```
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`$MODEL_PATH` like `wnma3mz/Janus-Pro-1B-4bit`
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config.json
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{
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"aligner_config": {
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"cls": "MlpProjector",
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"model_type": "aligner",
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"params": {
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"depth": 2,
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"input_dim": 1024,
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"n_embed": 2048,
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"projector_type": "mlp_gelu"
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}
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},
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"architectures": [
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"JanusProConditionalGeneration"
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],
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"gen_aligner_config": {
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"cls": "MlpProjector",
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"model_type": "gen_aligner",
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"params": {
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"depth": 2,
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"input_dim": 8,
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"n_embed": 2048,
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"projector_type": "mlp_gelu"
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}
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},
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"gen_head_config": {
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"cls": "vision_head",
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"model_type": "gen_head",
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"params": {
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"image_token_embed": 2048,
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"image_token_size": 16384,
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"n_embed": 2048
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}
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},
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"gen_vision_config": {
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"cls": "VQ-16",
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"model_type": "gen_vision",
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"params": {
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"image_token_size": 16384,
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"n_embed": 8
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}
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},
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"num_hidden_layers": 24,
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"language_config": {
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"hidden_size": 2048,
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"intermediate_size": 5632,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"torch_dtype": "bfloat16",
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"rms_norm_eps": 1e-6,
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"tie_word_embeddings": false,
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"vocab_size": 102400
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},
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"torch_dtype": "bfloat16",
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"transformers_version": "4.33.1",
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"quantization": {
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"group_size": 64,
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"bits": 4
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 4
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},
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"vision_config": {
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"cls": "CLIPVisionTower",
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"model_type": "vision",
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"use_head": true,
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"ignore_head": true,
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"image_size": 384,
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"patch_size": 16,
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"hidden_size": 1024,
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"num_hidden_layers": 24,
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"num_attention_heads": 16,
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"intermediate_size": 4096,
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"mlp_ratio": 4,
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"global_pool": "map",
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"use_checkpoint": false,
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"params": {
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"image_size": 384,
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"model_name": "siglip_large_patch16_384",
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"select_feature": "same",
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"select_layer": -1
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}
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1306d068356ec26c1ef49f3205c9b4ac61e461ba4154eb509ebae4abc13928b2
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size 1803190693
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preprocessor_config.json
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{
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"background_color": [
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127,
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127,
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127
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],
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"do_normalize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "VLMImageProcessor",
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"image_size": 384,
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"min_size": 14,
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"processor_class": "VLChatProcessor",
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"rescale_factor": 0.00392156862745098
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}
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processor_config.json
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{
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"add_special_token": false,
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"ignore_id": -100,
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"image_tag": "<image_placeholder>",
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"mask_prompt": true,
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"num_image_tokens": 576,
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"processor_class": "VLChatProcessor",
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"sft_format": "deepseek"
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<image_placeholder>",
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"<patch_placeholder>",
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"<|ref|>",
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"<|/ref|>",
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"<|det|>",
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"<|/det|>",
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"<|grounding|>",
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"<|User|>",
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"<|Assistant|>"
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],
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"bos_token": "<|begin▁of▁sentence|>",
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"eos_token": "<|end▁of▁sentence|>",
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"pad_token": "<|▁pad▁|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "<|begin▁of▁sentence|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|end▁of▁sentence|>",
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"model_max_length": 16384,
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"pad_token": null,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": null,
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='You are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language.') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{% break %}{%- endif %}{%- endfor %}{{ns.system_prompt + '\n\n'}}{%- for message in messages %}{%- if message['role'] == 'user' %}{{'<|User|>: ' + message['content'] + '\n\n'}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>: ' + content + '<|end of sentence|>'}}{%- endif %}{%- endfor -%}{% if add_generation_prompt %}{{'<|Assistant|>:'}}{% endif %}",
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"use_default_system_prompt": true
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}
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