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README.md ADDED
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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: image-text-to-text
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+ library_name: mlx
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+ base_model:
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+ - deepseek-ai/Janus-Pro-7B
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+ tags:
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+ - chat
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+ ---
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+
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+ This model is derived from https://huggingface.co/deepseek-ai/Janus-Pro-7B and the main modifications are as follows
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+
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+ - bin files are updated to safetensors
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+ - Add chat_template
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+
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+ `4bit` mainly refers to quantifying the LLM part to 4 bits.
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+
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+ ## Quick Start
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+
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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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+
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+ ```bash
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+ tllm.server --model_path $MODEL_PATH --hostname localhost --is_local --client_size 1
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+ ```
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+
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+ `$MODEL_PATH` like `wnma3mz/Janus-Pro-1B-4bit`
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+ {
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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": 4096,
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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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+ "cls": "MlpProjector",
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+ "input_dim": 8,
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+ "projector_type": "mlp_gelu"
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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": 4096,
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+ "image_token_size": 16384,
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+ }
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+ },
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+ "model_type": "gen_vision",
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+ "image_token_size": 16384,
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+ "num_hidden_layers": 30,
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+ "language_config": {
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+ "model_type": "llama",
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+ "torch_dtype": "bfloat16",
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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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+ }
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special_tokens_map.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<image_placeholder>",
4
+ "<patch_placeholder>",
5
+ "<|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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+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<|begin▁of▁sentence|>",
3
+ "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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+ "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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+ }