Upload BloomForCausalLM

README.md

@@ -0,0 +1,201 @@
+---
+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 +1,33 @@
+{
+  "_name_or_path": "bigscience/bloom-1b7",
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "BloomForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "attention_softmax_in_fp32": true,
+  "bias_dropout_fusion": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_dropout": 0.0,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "masked_softmax_fusion": true,
+  "model_type": "bloom",
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 24,
+  "offset_alibi": 100,
+  "pad_token_id": 3,
+  "pretraining_tp": 2,
+  "seq_length": 4096,
+  "skip_bias_add": true,
+  "skip_bias_add_qkv": false,
+  "slow_but_exact": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.1",
+  "unk_token_id": 0,
+  "use_cache": true,
+  "vocab_size": 250880
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 3,
+  "transformers_version": "4.38.1"
+}

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7d03794a608872efc51320d3155554fe8e9c4634c3e2c07b70c60737c0dbf74
+size 4942483896

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f170a5060094edc3e76c1ca2ef8461334b59846dce498c6e7fe3cbb3fcc7ee0
+size 1947186192

model.safetensors.index.json

@@ -0,0 +1,300 @@
+{
+  "metadata": {
+    "total_size": 6889635840
+  },
+  "weight_map": {
+    "transformer.h.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.14.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.15.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.15.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.15.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.15.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.16.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.16.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.17.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.17.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.18.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.18.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.19.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.19.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.20.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.20.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.20.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.20.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_4h_to_h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_h_to_4h.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.post_attention_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.dense.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.query_key_value.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_4h_to_h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_h_to_4h.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.post_attention_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.dense.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.query_key_value.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.ln_f.bias": "model-00002-of-00002.safetensors",
+    "transformer.ln_f.weight": "model-00002-of-00002.safetensors",
+    "transformer.word_embeddings.weight": "model-00001-of-00002.safetensors",
+    "transformer.word_embeddings_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.word_embeddings_layernorm.weight": "model-00001-of-00002.safetensors"
+  }
+}