Upload Llama3ForConditionalGeneration

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
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+## Uses
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+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+### Direct Use
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+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
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+## Training Details
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+### Training Data
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+[More Information Needed]
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+### Training Procedure
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+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+#### Training Hyperparameters
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+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+## Evaluation
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+<!-- This section describes the evaluation protocols and provides the results. -->
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+### Testing Data, Factors & Metrics
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+<!-- This should link to a Dataset Card if possible. -->
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+[More Information Needed]
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+## Model Examination [optional]
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+<!-- Relevant interpretability work for the model goes here -->
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+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+### Model Architecture and Objective
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+[More Information Needed]
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config.json

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+{
+  "_name_or_path": "AlexHung29629/test_mllama_11B_v2",
+  "architectures": [
+    "Llama3ForConditionalGeneration"
+  ],
+  "audio_config": {
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+    "_name_or_path": "",
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+    "adapter_stride": 4,
+    "add_adapter": true,
+    "add_cross_attention": false,
+    "apply_spec_augment": false,
+    "architectures": [
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+    "conv_depthwise_kernel_size": 31,
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+    "ctc_loss_reduction": "sum",
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+    "num_negatives": 100,
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+    "position_embeddings_type": "relative_key",
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+    "proj_codevector_dim": 768,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
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+    "return_dict": true,
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+    "right_max_position_embeddings": 8,
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+    "tdnn_dilation": [
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+    "xvector_output_dim": 512
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+  "auto_map": {
+    "AutoConfig": "AlexHung29629/test_mllama_11B_v2--configuration_llama3.Llama3Config",
+    "AutoModel": "AlexHung29629/test_mllama_11B_v2--modeling_llama3.Llama3ForConditionalGeneration",
+    "AutoModelForCausalLM": "AlexHung29629/test_mllama_11B_v2--modeling_llama3.Llama3ForCausalLM",
+    "AutoProcessor": "AlexHung29629/test_mllama_11B_v2--processing_mllama.MllamaProcessor"
+  },
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+  "model_type": "llama3",
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+  }
+}

generation_config.json

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+  "pad_token_id": 128004,
+  "transformers_version": "4.46.0"
+}

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