Upload FalconForCausalLM

README.md

@@ -0,0 +1,201 @@
+---
+library_name: transformers
+tags:
+- trl
+- sft
+---
+
+# 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]

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": false,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "dense",
+    "dense_4h_to_h",
+    "query_key_value",
+    "dense_h_to_4h"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model-00001-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7868c868e59cff543aa66b86384270fa9352011a22c862b0e3444f477d11f544
+size 199358176

adapter_model-00002-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94b51d6f68fe4298cb3805eb665155730974a4a2d32a1624d55e40cfd28048f8
+size 198162064

adapter_model-00003-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34b86531f02b3dae66264ceb6076a88940a649ef16cdb479365691bbd838abae
+size 124707008

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.42.4"
+}

model.safetensors.index.json

@@ -0,0 +1,263 @@
+{
+  "metadata": {
+    "total_size": 522190848
+  },
+  "weight_map": {
+    "base_model.model.transformer.h.0.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.0.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.1.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.10.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.11.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.12.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.12.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.12.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.12.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.12.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.12.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.12.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.12.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.13.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.13.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.14.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.15.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.16.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.17.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.18.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.19.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.2.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.2.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.20.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.20.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.21.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.22.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.23.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.24.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.24.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.24.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.24.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.24.self_attention.dense.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.24.self_attention.dense.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.24.self_attention.query_key_value.lora_A.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.24.self_attention.query_key_value.lora_B.weight": "adapter_model-00002-of-00003.safetensors",
+    "base_model.model.transformer.h.25.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.25.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.26.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.27.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.28.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.29.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.3.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.3.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.30.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.30.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.self_attention.dense.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.self_attention.dense.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.self_attention.query_key_value.lora_A.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.31.self_attention.query_key_value.lora_B.weight": "adapter_model-00003-of-00003.safetensors",
+    "base_model.model.transformer.h.4.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.4.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.5.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.6.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.7.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.8.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.mlp.dense_4h_to_h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.mlp.dense_4h_to_h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.mlp.dense_h_to_4h.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.mlp.dense_h_to_4h.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.self_attention.dense.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.self_attention.dense.lora_B.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.self_attention.query_key_value.lora_A.weight": "adapter_model-00001-of-00003.safetensors",
+    "base_model.model.transformer.h.9.self_attention.query_key_value.lora_B.weight": "adapter_model-00001-of-00003.safetensors"
+  }
+}