Upload Phi3SmallForCausalLM

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 +1,143 @@
+{
+  "_name_or_path": "numind/NuExtract-large",
+  "architectures": [
+    "Phi3SmallForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout_prob": 0.0,
+  "auto_map": {
+    "AutoConfig": "numind/NuExtract-large--configuration_phi3_small.Phi3SmallConfig",
+    "AutoModelForCausalLM": "numind/NuExtract-large--modeling_phi3_small.Phi3SmallForCausalLM",
+    "AutoModelForSequenceClassification": "numind/NuExtract-large--modeling_phi3_small.Phi3SmallForSequenceClassification",
+    "AutoTokenizer": "numind/NuExtract-large--tokenization_phi3_small.Phi3SmallTokenizer"
+  },
+  "blocksparse_block_size": 64,
+  "blocksparse_homo_head_pattern": false,
+  "blocksparse_num_local_blocks": 16,
+  "blocksparse_triton_kernel_block_size": 64,
+  "blocksparse_vert_stride": 8,
+  "bos_token_id": 100257,
+  "dense_attention_every_n_layers": 2,
+  "dummy_token_indices": [
+    100256,
+    100258,
+    100259,
+    100260,
+    100264,
+    100265,
+    100267,
+    100268,
+    100269,
+    100270,
+    100271,
+    100272,
+    100273,
+    100274,
+    100275,
+    100276,
+    100277,
+    100278,
+    100279,
+    100280,
+    100281,
+    100282,
+    100283,
+    100284,
+    100285,
+    100286,
+    100287,
+    100288,
+    100289,
+    100290,
+    100291,
+    100292,
+    100293,
+    100294,
+    100295,
+    100296,
+    100297,
+    100298,
+    100299,
+    100300,
+    100301,
+    100302,
+    100303,
+    100304,
+    100305,
+    100306,
+    100307,
+    100308,
+    100309,
+    100310,
+    100311,
+    100312,
+    100313,
+    100314,
+    100315,
+    100316,
+    100317,
+    100318,
+    100319,
+    100320,
+    100321,
+    100322,
+    100323,
+    100324,
+    100325,
+    100326,
+    100327,
+    100328,
+    100329,
+    100330,
+    100331,
+    100332,
+    100333,
+    100334,
+    100335,
+    100336,
+    100337,
+    100338,
+    100339,
+    100340,
+    100341,
+    100342,
+    100343,
+    100344,
+    100345,
+    100346,
+    100347,
+    100348,
+    100349,
+    100350,
+    100351
+  ],
+  "embedding_dropout_prob": 0.1,
+  "eos_token_id": 100257,
+  "ff_dim_multiplier": null,
+  "ff_intermediate_size": 14336,
+  "ffn_dropout_prob": 0.1,
+  "gegelu_limit": 20.0,
+  "gegelu_pad_to_256": true,
+  "hidden_act": "gegelu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 8192,
+  "model_type": "phi3small",
+  "mup_attn_multiplier": 1.0,
+  "mup_embedding_multiplier": 10.0,
+  "mup_use_scaling": true,
+  "mup_width_multiplier": 8.0,
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_sequence_to_multiple_of_64": true,
+  "reorder_and_upcast_attn": false,
+  "rope_embedding_base": 1000000,
+  "rope_position_scale": 1.0,
+  "rope_scaling": null,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 100352
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 100257,
+  "eos_token_id": [
+    100257,
+    100266
+  ],
+  "max_new_tokens": 2000,
+  "transformers_version": "4.44.2"
+}

model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bf55487f5755b2c7c349eef1ef9aeb26ebd29018e16d27f01588e242098d4af
+size 4832944248

model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03ba5075cfb5f0d04c93463e91581914e4f7324bd9c806893991ce3e1dc12370
+size 4799609488

model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99a39c0a27d108dce13ce014448fffbb232c78b0261531a330239bd0e7c5b9d3
+size 4799609504

model-00004-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b10573655eb4071e983a1ba609c41dcf576b9dfbcb719cd8e2f5041463e0a824
+size 352437304

model.safetensors.index.json

@@ -0,0 +1,426 @@
+{
+  "metadata": {
+    "total_size": 14784552960
+  },
+  "weight_map": {
+    "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
+    "model.final_layernorm.bias": "model-00004-of-00004.safetensors",
+    "model.final_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.0.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.1.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.10.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.11.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.12.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.13.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.14.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.15.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.16.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.17.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.18.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.19.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.2.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.20.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.dense.bias": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.dense.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.query_key_value.bias": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.query_key_value.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.rotary_emb.inv_freq": "model-00002-of-00004.safetensors",
+    "model.layers.21.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.22.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.23.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.24.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.25.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.26.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.27.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.28.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.29.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.3.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.30.input_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.post_attention_layernorm.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.31.input_layernorm.bias": "model-00004-of-00004.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.31.mlp.down_proj.bias": "model-00004-of-00004.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.31.mlp.up_proj.bias": "model-00004-of-00004.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.31.post_attention_layernorm.bias": "model-00004-of-00004.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.31.self_attn.dense.bias": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.dense.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.query_key_value.bias": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.query_key_value.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.rotary_emb.inv_freq": "model-00003-of-00004.safetensors",
+    "model.layers.4.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.5.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.6.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.7.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.8.input_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.post_attention_layernorm.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors",
+    "model.layers.9.input_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_attention_layernorm.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.dense.bias": "model-00001-of-00004.safetensors",
+    "model.layers.9.self_attn.dense.weight": "model-00001-of-00004.safetensors",
+    "model.layers.9.self_attn.query_key_value.bias": "model-00001-of-00004.safetensors",
+    "model.layers.9.self_attn.query_key_value.weight": "model-00001-of-00004.safetensors",
+    "model.layers.9.self_attn.rotary_emb.inv_freq": "model-00001-of-00004.safetensors"
+  }
+}