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mtmd : Add Nemotron Nano 12B v2 VL support (#19547)

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* nemotron nano v2 vlm support added

* simplified code; addressed reviews

* pre-downsample position embeddings during GGUF conversion for fixed input size
This commit is contained in:
Anav Prasad
2026-02-14 05:07:00 -08:00
committed by GitHub
parent 1725e316c1
commit 01d8eaa28d
9 changed files with 167 additions and 1 deletions
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gguf-py/gguf/constants.py
+1
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@@ -3830,6 +3830,7 @@ class VisionProjectorType:
MUSIC_FLAMINGO = "musicflamingo" # audio
GLM4V = "glm4v"
YOUTUVL = "youtuvl"
NEMOTRON_V2_VL = "nemotron_v2_vl"
# Items here are (block size, type size)
gguf-py/gguf/tensor_mapping.py
+10 -1
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@@ -1346,6 +1346,7 @@ class TensorNameMap:
"model.vision_tower.embeddings.cls_token", # Intern-S1
"vision_model.class_embedding", # llama 4
"model.vision.patch_embedding.cls_embedding", # cogvlm
"vision_model.radio_model.model.patch_generator.cls_token.token", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_EMBD_PATCH: (
@@ -1360,6 +1361,7 @@ class TensorNameMap:
"vision_tower.patch_embed.proj", # kimi-vl
"model.vision.patch_embedding.proj", # cogvlm
"siglip2.vision_model.embeddings.patch_embedding",
"vision_model.radio_model.model.patch_generator.embedder", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_EMBD_NORM: (
@@ -1376,12 +1378,14 @@ class TensorNameMap:
"visual.pos_embed", # qwen3vl
"model.vision.patch_embedding.position_embedding", # cogvlm
"visual.embeddings.position_embedding", # glm4v
"vision_model.radio_model.model.patch_generator.pos_embed", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_ATTN_QKV: (
"visual.blocks.{bid}.attn.qkv", # qwen3vl
"model.vision.transformer.layers.{bid}.attention.query_key_value", # cogvlm
"vision_tower.encoder.blocks.{bid}.wqkv" # Kimi-K2.5
"vision_tower.encoder.blocks.{bid}.wqkv", # Kimi-K2.5
"vision_model.radio_model.model.blocks.{bid}.attn.qkv", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_ATTN_Q: (
@@ -1446,6 +1450,7 @@ class TensorNameMap:
"vision_tower.encoder.blocks.{bid}.norm0", # kimi-vl (norm0/norm1)
"model.vision.transformer.layers.{bid}.input_layernorm", # cogvlm
"siglip2.vision_model.encoder.layers.{bid}.layer_norm1",
"vision_model.radio_model.model.blocks.{bid}.norm1", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_ATTN_O: (
@@ -1462,6 +1467,7 @@ class TensorNameMap:
"vision_tower.encoder.blocks.{bid}.wo", # kimi-vl
"model.vision.transformer.layers.{bid}.attention.dense", # cogvlm
"siglip2.vision_model.encoder.layers.{bid}.self_attn.out_proj", # youtuvl
"vision_model.radio_model.model.blocks.{bid}.attn.proj", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_POST_ATTN_NORM: (
@@ -1477,6 +1483,7 @@ class TensorNameMap:
"vision_tower.encoder.blocks.{bid}.norm1", # kimi-vl (norm0/norm1)
"model.vision.transformer.layers.{bid}.post_attention_layernorm", # cogvlm
"siglip2.vision_model.encoder.layers.{bid}.layer_norm2",
"vision_model.radio_model.model.blocks.{bid}.norm2", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_FFN_UP: (
@@ -1493,6 +1500,7 @@ class TensorNameMap:
"vision_tower.encoder.blocks.{bid}.mlp.fc0", # kimi-vl (fc0/fc1)
"model.vision.transformer.layers.{bid}.mlp.fc1", # cogvlm
"siglip2.vision_model.encoder.layers.{bid}.mlp.fc1",
"vision_model.radio_model.model.blocks.{bid}.mlp.fc1", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_ENC_FFN_GATE: (
@@ -1515,6 +1523,7 @@ class TensorNameMap:
"vision_tower.encoder.blocks.{bid}.mlp.fc1", # kimi-vl (fc0/fc1)
"model.vision.transformer.layers.{bid}.mlp.fc2", # cogvlm
"siglip2.vision_model.encoder.layers.{bid}.mlp.fc2",
"vision_model.radio_model.model.blocks.{bid}.mlp.fc2", # Nemotron Nano v2 VL
),
MODEL_TENSOR.V_LAYER_SCALE_1: (