Lightweight and fast vision model, does a decent job describing photos.
vision
2,150 Pulls Updated 7 months ago
03b4efa2bafe · 601MB
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clip.has_llava_projectortrue
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clip.has_text_encoderfalse
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clip.has_vision_encodertrue
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clip.projector_typemlp
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clip.use_gelufalse
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clip.vision.attention.head_count16
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clip.vision.attention.layer_norm_epsilon1e-05
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clip.vision.block_count23
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clip.vision.embedding_length1024
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clip.vision.feed_forward_length4096
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clip.vision.image_mean[0.48145467, 0.4578275, 0.40821072]
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clip.vision.image_size336
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clip.vision.image_std[0.26862955, 0.2613026, 0.2757771]
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clip.vision.patch_size14
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clip.vision.projection_dim768
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general.architectureclip
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general.descriptionimage encoder for LLaVA
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general.file_type1
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general.nameopenai/clip-vit-large-patch14-336
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v.blk.21.ffn_down.weightF16[1024, 4096]
-
v.blk.21.ffn_up.biasF32[1024]
-
v.blk.21.ffn_up.weightF16[4096, 1024]
-
v.blk.21.ln1.biasF32[1024]
-
v.blk.21.ln1.weightF32[1024]
-
v.blk.21.ln2.biasF32[1024]
-
v.blk.21.ln2.weightF32[1024]
-
v.blk.22.attn_k.biasF32[1024]
-
v.blk.22.attn_k.weightF16[1024, 1024]
-
v.blk.22.attn_out.biasF32[1024]
-
v.blk.22.attn_out.weightF16[1024, 1024]
-
v.blk.22.attn_q.biasF32[1024]
-
v.blk.22.attn_q.weightF16[1024, 1024]
-
v.blk.22.attn_v.biasF32[1024]
-
v.blk.22.attn_v.weightF16[1024, 1024]
-
v.blk.22.ffn_down.biasF32[4096]
-
v.blk.22.ffn_down.weightF16[1024, 4096]
-
v.blk.22.ffn_up.biasF32[1024]
-
v.blk.22.ffn_up.weightF16[4096, 1024]
-
v.blk.22.ln1.biasF32[1024]
-
v.blk.22.ln1.weightF32[1024]
-
v.blk.22.ln2.biasF32[1024]
-
v.blk.22.ln2.weightF32[1024]
-
v.class_embdF32[1024]
-
v.patch_embd.weightF16[14, 14, 3, 1024]
-
v.position_embd.weightF16[1024, 577]
-
v.pre_ln.biasF32[1024]
-
v.pre_ln.weightF32[1024]
Metadata
Tensor
v.blk.0
v.blk.1
v.blk.2
v.blk.3
v.blk.4
v.blk.5
v.blk.6
v.blk.7
v.blk.8
v.blk.9
v.blk.10
v.blk.11
v.blk.12
v.blk.13
v.blk.14
v.blk.15
v.blk.16
v.blk.17
v.blk.18
v.blk.19
v.blk.20
v.blk.21
v.blk.22