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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
+llava.projector filter=lfs diff=lfs merge=lfs -text

Modelfile

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+FROM ggml-model-f32-quantized.gguf
+FROM mmproj-model-f16.gguf
+
+TEMPLATE """{{ if .System }}{{ .System }}{{ end }}<|startoftext|>{{ if .Prompt }}  
+user<|endoftext|>{{ .Prompt }}{{ end }}<|startoftext|>assistant<|endoftext|> 
+{{ .Response }}"""
+
+PARAMETER stop "<|startoftext|>"
+PARAMETER stop "<|endoftext|>"
+PARAMETER stop "eos_token"
+

README.md

@@ -0,0 +1,50 @@
+---
+tags:
+- generated_from_keras_callback
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
+  candidate_labels: playing music, playing sports
+  example_title: Cat & Dog
+model-index:
+- name: clip-vit-large-patch14-336
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# clip-vit-large-patch14-336
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- TensorFlow 2.8.2
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "openai/clip-vit-large-patch14-336",
+  "architectures": [
+    "CLIPModel"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
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+    "hidden_act": "quick_gelu",
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 77,
+    "min_length": 0,
+    "model_type": "clip_text_model",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
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+    "output_scores": false,
+    "pad_token_id": 1,
+    "prefix": null,
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+    "pruned_heads": {},
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+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
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+    "torchscript": false,
+    "transformers_version": "4.21.3",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "vocab_size": 49408
+  },
+  "text_config_dict": {
+    "hidden_size": 768,
+    "intermediate_size": 3072,
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
+    "projection_dim": 768
+  },
+  "torch_dtype": "float32",
+  "transformers_version": null,
+  "vision_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
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+    "hidden_act": "quick_gelu",
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+      "1": "LABEL_1"
+    },
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+    "initializer_factor": 1.0,
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+    "is_decoder": false,
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+    "min_length": 0,
+    "model_type": "clip_vision_model",
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+    "num_attention_heads": 16,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "num_return_sequences": 1,
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+    "output_scores": false,
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+    "top_p": 1.0,
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+    "torchscript": false,
+    "transformers_version": "4.21.3",
+    "typical_p": 1.0,
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+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768
+  }
+}

ggml-model-f32-quantized.gguf

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llava.projector

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mmproj-model-f16.gguf

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preprocessor_config.json

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+  "crop_size": 336,
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
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pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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