model: Granite Speech Plus (#24818)
* feat: Add conversion support for Granite Speech Plus Branch: GraniteSpeechPlus AI-usage: full (Bob, OpenCode + Qwen3.6-35b) Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> * feat: Extend granite_speech to support plus multi-layer concatenation Branch: GraniteSpeechPlus AI-usage: draft (Bob, OpenCode + Qwen3.6-35b) Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> * fix(conversion): Fix plural naming for feature_layers for audio Branch: GraniteSpeechPlus AI-usage: none Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> * fix(mtmd): Align feature_layer usage and naming everywhere Branch: GraniteSpeechPlus AI-usage: none Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> * style: Use fstring for log Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> --------- Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
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@@ -96,6 +96,7 @@ TEXT_MODEL_MAP: dict[str, str] = {
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"GraniteMoeHybridForCausalLM": "granite",
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"GraniteMoeSharedForCausalLM": "granite",
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"GraniteSpeechForConditionalGeneration": "granite",
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"GraniteSpeechPlusForConditionalGeneration": "granite",
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"Grok1ForCausalLM": "grok",
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"GrokForCausalLM": "grok",
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"GroveMoeForCausalLM": "grovemoe",
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@@ -261,6 +262,7 @@ MMPROJ_MODEL_MAP: dict[str, str] = {
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"GlmasrModel": "ultravox",
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"Granite4VisionForConditionalGeneration": "granite",
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"GraniteSpeechForConditionalGeneration": "granite",
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"GraniteSpeechPlusForConditionalGeneration": "granite",
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"HunYuanVLForConditionalGeneration": "hunyuan",
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"Idefics3ForConditionalGeneration": "smolvlm",
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"InternVisionModel": "internvl",
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@@ -348,6 +348,34 @@ class GraniteSpeechMmprojModel(MmprojModel):
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yield from super().modify_tensors(data_torch, name, bid)
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@ModelBase.register("GraniteSpeechPlusForConditionalGeneration")
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class GraniteSpeechPlusMmprojModel(GraniteSpeechMmprojModel):
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"""Conversion for GraniteSpeechPlus - extends GraniteSpeech with feature layer concatenation"""
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has_vision_encoder = False
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has_audio_encoder = True
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def set_gguf_parameters(self):
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assert self.hparams_audio is not None
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super().set_gguf_parameters()
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# Add feature_layer if present in encoder config
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if feature_layers := self.hparams_audio.get("cat_hidden_layers"):
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self.gguf_writer.add_audio_feature_layers(feature_layers)
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logger.info(f"gguf: audio feature_layers = {feature_layers}")
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# Validate projector dimension matches concatenated encoder output
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hidden_dim = self.hparams_audio["hidden_dim"]
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expected_dim = hidden_dim * (len(feature_layers) + 1)
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projector_dim = self.global_config["projector_config"]["encoder_hidden_size"]
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if projector_dim != expected_dim:
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raise ValueError(
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f"Projector encoder_hidden_size ({projector_dim}) does not match "
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f"expected concatenated dimension ({expected_dim}). "
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f"Expected: hidden_dim ({hidden_dim}) * (len(feature_layers) + 1) = {expected_dim}"
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)
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@ModelBase.register("Granite4VisionForConditionalGeneration")
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class Granite4VisionMmprojModel(MmprojModel):
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has_vision_encoder = True
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