add-multimodal

#978
by alozowski HF staff - opened
Files changed (2) hide show
  1. src/display/about.py +1 -0
  2. src/display/utils.py +3 -1
src/display/about.py CHANGED
@@ -13,6 +13,7 @@ icons = f"""
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  - {ModelType.FT.to_str(" : ")} model: pretrained models finetuned on more data
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  - {ModelType.chat.to_str(" : ")} model: chat like fine-tunes, either using IFT (datasets of task instruction), RLHF or DPO (changing the model loss a bit with an added policy), etc
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  - {ModelType.merges.to_str(" : ")} model: merges or MoErges, models which have been merged or fused without additional fine-tuning.
 
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  """
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  LLM_BENCHMARKS_TEXT = """
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  ## ABOUT
 
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  - {ModelType.FT.to_str(" : ")} model: pretrained models finetuned on more data
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  - {ModelType.chat.to_str(" : ")} model: chat like fine-tunes, either using IFT (datasets of task instruction), RLHF or DPO (changing the model loss a bit with an added policy), etc
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  - {ModelType.merges.to_str(" : ")} model: merges or MoErges, models which have been merged or fused without additional fine-tuning.
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+ - {ModelType.MM.to_str(" : ")} model: models integrating multiple data types (e.g., text, image, audio) for tasks like image captioning and visual question answering.
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  """
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  LLM_BENCHMARKS_TEXT = """
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  ## ABOUT
src/display/utils.py CHANGED
@@ -196,6 +196,7 @@ class ModelType(Enum):
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  PT = ModelDetails(name="🟒 pretrained", symbol="🟒")
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  CPT = ModelDetails(name="🟩 continuously pretrained", symbol="🟩")
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  FT = ModelDetails(name="πŸ”Ά fine-tuned on domain-specific datasets", symbol="πŸ”Ά")
 
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  chat = ModelDetails(name="πŸ’¬ chat models (RLHF, DPO, IFT, ...)", symbol="πŸ’¬")
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  merges = ModelDetails(name="🀝 base merges and moerges", symbol="🀝")
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  Unknown = ModelDetails(name="❓ other", symbol="❓")
@@ -215,9 +216,10 @@ class ModelType(Enum):
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  return ModelType.chat
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  if "merge" in m_type or "🀝" in m_type:
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  return ModelType.merges
 
 
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  return ModelType.Unknown
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-
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  class WeightType(Enum):
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  Adapter = ModelDetails("Adapter")
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  Original = ModelDetails("Original")
 
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  PT = ModelDetails(name="🟒 pretrained", symbol="🟒")
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  CPT = ModelDetails(name="🟩 continuously pretrained", symbol="🟩")
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  FT = ModelDetails(name="πŸ”Ά fine-tuned on domain-specific datasets", symbol="πŸ”Ά")
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+ MM = ModelDetails(name="🌸 multimodal", symbol="🌸")
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  chat = ModelDetails(name="πŸ’¬ chat models (RLHF, DPO, IFT, ...)", symbol="πŸ’¬")
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  merges = ModelDetails(name="🀝 base merges and moerges", symbol="🀝")
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  Unknown = ModelDetails(name="❓ other", symbol="❓")
 
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  return ModelType.chat
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  if "merge" in m_type or "🀝" in m_type:
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  return ModelType.merges
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+ if "multimodal" in m_type or "🌸" in m_type:
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+ return ModelType.MM
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  return ModelType.Unknown
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  class WeightType(Enum):
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  Adapter = ModelDetails("Adapter")
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  Original = ModelDetails("Original")