Upload PhiMoEForCausalLM

README.md

@@ -0,0 +1,199 @@
+---
+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]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

@@ -0,0 +1,178 @@
+{
+  "_name_or_path": "Phi-3.5-MoE-instruct",
+  "architectures": [
+    "PhiMoEForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_phimoe.PhiMoEConfig",
+    "AutoModelForCausalLM": "modeling_phimoe.PhiMoEForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "input_jitter_noise": 0.01,
+  "intermediate_size": 1408,
+  "lm_head_bias": true,
+  "max_position_embeddings": 131072,
+  "model_type": "phimoe",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 16,
+  "original_max_position_embeddings": 4096,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "long_factor": [
+      1.0199999809265137,
+      1.0299999713897705,
+      1.0399999618530273,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.059999942779541,
+      1.059999942779541,
+      1.059999942779541,
+      1.059999942779541,
+      1.059999942779541,
+      1.059999942779541,
+      1.0999999046325684,
+      1.1799999475479126,
+      1.1799999475479126,
+      1.3700000047683716,
+      1.4899998903274536,
+      2.109999895095825,
+      2.8899998664855957,
+      3.9499998092651367,
+      4.299999713897705,
+      6.429999828338623,
+      8.09000015258789,
+      10.690000534057617,
+      12.050000190734863,
+      18.229999542236328,
+      18.84000015258789,
+      19.899999618530273,
+      21.420000076293945,
+      26.200000762939453,
+      34.28000259399414,
+      34.590003967285156,
+      38.730003356933594,
+      40.22000503540039,
+      42.54000473022461,
+      44.000003814697266,
+      47.590003967285156,
+      54.750003814697266,
+      56.19000244140625,
+      57.44000244140625,
+      57.4900016784668,
+      61.20000076293945,
+      61.540000915527344,
+      61.75,
+      61.779998779296875,
+      62.06999969482422,
+      63.11000061035156,
+      63.43000030517578,
+      63.560001373291016,
+      63.71000289916992,
+      63.92000198364258,
+      63.94000244140625,
+      63.94000244140625,
+      63.96000289916992,
+      63.980003356933594,
+      64.0300064086914,
+      64.0300064086914,
+      64.0300064086914,
+      64.04000854492188,
+      64.10000610351562,
+      64.19000244140625,
+      64.20999908447266,
+      64.75,
+      64.95999908447266
+    ],
+    "long_mscale": 1.243163121016122,
+    "original_max_position_embeddings": 4096,
+    "short_factor": [
+      1.0,
+      1.0399999618530273,
+      1.0399999618530273,
+      1.0399999618530273,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.0499999523162842,
+      1.059999942779541,
+      1.059999942779541,
+      1.0699999332427979,
+      1.0699999332427979,
+      1.0699999332427979,
+      1.0699999332427979,
+      1.1399999856948853,
+      1.159999966621399,
+      1.159999966621399,
+      1.159999966621399,
+      1.159999966621399,
+      1.1799999475479126,
+      1.1999999284744263,
+      1.3199999332427979,
+      1.3399999141693115,
+      1.3499999046325684,
+      1.3999998569488525,
+      1.4799998998641968,
+      1.4999998807907104,
+      1.589999794960022,
+      1.6499998569488525,
+      1.71999990940094,
+      1.8999998569488525,
+      1.9099998474121094,
+      1.9099998474121094,
+      1.9899998903274536,
+      1.9999998807907104,
+      1.9999998807907104,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.009999990463257,
+      2.0999999046325684,
+      2.319999933242798,
+      2.419999837875366,
+      2.5899999141693115,
+      2.7899999618530273
+    ],
+    "short_mscale": 1.243163121016122,
+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.0,
+  "router_jitter_noise": 0.01,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32064
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "transformers_version": "4.41.2"
+}

model-00001-of-00005.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d1ae39e34ff2785c8bd9471c0f5ee171d5d5ad58944643190ae78448fb8e01b
+size 4995342304

model-00002-of-00005.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:811ef93cbd65a16481fbfc12fd971359d3ab2b8ec2b3c367fee1ece8c0c8a07f
+size 4998000136

model-00003-of-00005.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60a8eed4e5ce39523d877481209ac064df3aede19a555e0914ea9c142e552141
+size 4987375184

model-00004-of-00005.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e9f450e230ea667aec740884476564238089c08cb5a354e05c1dcda42dcbbe1
+size 4993760312

model-00005-of-00005.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f6256d7beddd4b1a202b776b193c8557b69c58584ce3c267f15d0428bc50495
+size 958180944