Add SetFit model

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "word_embedding_dimension": 1536,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

2_Dense/config.json

@@ -0,0 +1 @@
+{"in_features": 1536, "out_features": 1024, "bias": true, "activation_function": "torch.nn.modules.linear.Identity"}

2_Dense/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53f45a38be44d9b247345217963439137621760d2a54b4ec3eb3dad17ce72ba3
+size 6295712

README.md

@@ -0,0 +1,185 @@
+---
+base_model: dunzhang/stella_en_1.5B_v5
+library_name: setfit
+metrics:
+- accuracy
+pipeline_tag: text-classification
+tags:
+- setfit
+- sentence-transformers
+- text-classification
+- generated_from_setfit_trainer
+widget:
+- text: I have never owned a F-150. I fell in love with them in 2015 and really like
+    the idea of a rust free body on a truck.
+- text: No rust. A few scratches on the front bumper cover. A few chips from rocks
+    and other things, but other than that I’d say it’s pretty flawless. No swirls
+    or fading.
+- text: I wouldn’t cal it bad ownership at all. Hyundai’s paint is notoriously crappy,
+    and rust issues are quite common. Just consider yourself lucky.
+- text: Our white Atlas CS has SHIT paint. It’s covered in rock chips and rust spots.
+- text: 'Mines a work in progress: 1979 Ranger XLT 5.4L supercharged (From an 03 Lightning)
+    4R100 auto trans 2015 f-150 chassis w\ 3.73 diffs Orig paint (rough and faded
+    but no rust)'
+inference: true
+---
+
+# SetFit with dunzhang/stella_en_1.5B_v5
+
+This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [dunzhang/stella_en_1.5B_v5](https://huggingface.co/dunzhang/stella_en_1.5B_v5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
+
+The model has been trained using an efficient few-shot learning technique that involves:
+
+1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
+2. Training a classification head with features from the fine-tuned Sentence Transformer.
+
+## Model Details
+
+### Model Description
+- **Model Type:** SetFit
+- **Sentence Transformer body:** [dunzhang/stella_en_1.5B_v5](https://huggingface.co/dunzhang/stella_en_1.5B_v5)
+- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
+- **Maximum Sequence Length:** 512 tokens
+- **Number of Classes:** 2 classes
+<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
+- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
+- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
+
+### Model Labels
+| Label | Examples                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
+|:------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 0     | <ul><li>'the other day I happened to be standing taller than the roof and saw that I have two very large rust spots on the roof and tons of little rust spots on the hood and hatch. The ones on the roof look like the paint is washing away, like it was hit with acid. I went to the dealership I purchased it from today and the service tech was pretty useless, referring me to Toyota USA.'</li><li>'Anything but a Corolla. My sister got one new for her graduation, the paint started peeling after just 6 months with rust spots underneath'</li><li>'My dealer hasn’t activated the Qmerit install benefits, I guess I need to call them tomorrow, my sales guy not responding to me at all. I still need to get the paint issue taken care of, found rusted paint when taking delivery.'</li></ul> |
+| 1     | <ul><li>'I have never owned a F-150. I fell in love with them in 2015 and really like the idea of a rust free body on a truck.'</li><li>"2009 Honda Civic I bought it brand new, it has way over 200k miles on it and while it looks a little worn and the paint is faded there's no rust or dents or anything that would make you look twice at it. I love the damn car."</li><li>'Mine still has no rust but I take preventative measures each winter. Your paint still looks amazing.'</li></ul>                                                                                                                                                                                                                                                                                                             |
+
+## Uses
+
+### Direct Use for Inference
+
+First install the SetFit library:
+
+```bash
+pip install setfit
+```
+
+Then you can load this model and run inference.
+
+```python
+from setfit import SetFitModel
+
+# Download from the 🤗 Hub
+model = SetFitModel.from_pretrained("bhaskars113/toyota-corrosion")
+# Run inference
+preds = model("Our white Atlas CS has SHIT paint. It’s covered in rock chips and rust spots.")
+```
+
+<!--
+### Downstream Use
+
+*List how someone could finetune this model on their own dataset.*
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Set Metrics
+| Training set | Min | Median | Max |
+|:-------------|:----|:-------|:----|
+| Word count   | 15  | 35.875 | 98  |
+
+| Label | Training Sample Count |
+|:------|:----------------------|
+| 0     | 16                    |
+| 1     | 16                    |
+
+### Training Hyperparameters
+- batch_size: (8, 8)
+- num_epochs: (1, 1)
+- max_steps: -1
+- sampling_strategy: oversampling
+- num_iterations: 20
+- body_learning_rate: (2e-05, 2e-05)
+- head_learning_rate: 2e-05
+- loss: CosineSimilarityLoss
+- distance_metric: cosine_distance
+- margin: 0.25
+- end_to_end: False
+- use_amp: False
+- warmup_proportion: 0.1
+- l2_weight: 0.01
+- seed: 42
+- eval_max_steps: -1
+- load_best_model_at_end: False
+
+### Training Results
+| Epoch  | Step | Training Loss | Validation Loss |
+|:------:|:----:|:-------------:|:---------------:|
+| 0.0063 | 1    | 0.2731        | -               |
+| 0.3125 | 50   | 0.1076        | -               |
+| 0.625  | 100  | 0.0002        | -               |
+| 0.9375 | 150  | 0.0           | -               |
+
+### Framework Versions
+- Python: 3.10.12
+- SetFit: 1.1.0
+- Sentence Transformers: 3.2.1
+- Transformers: 4.44.2
+- PyTorch: 2.4.1+cu121
+- Datasets: 3.0.1
+- Tokenizers: 0.19.1
+
+## Citation
+
+### BibTeX
+```bibtex
+@article{https://doi.org/10.48550/arxiv.2209.11055,
+    doi = {10.48550/ARXIV.2209.11055},
+    url = {https://arxiv.org/abs/2209.11055},
+    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
+    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
+    title = {Efficient Few-Shot Learning Without Prompts},
+    publisher = {arXiv},
+    year = {2022},
+    copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "dunzhang/stella_en_1.5B_v5",
+  "architectures": [
+    "Qwen2Model"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoModel": "dunzhang/stella_en_1.5B_v5--modeling_qwen.Qwen2Model",
+    "AutoModelForCausalLM": "dunzhang/stella_en_1.5B_v5--modeling_qwen.Qwen2ForCausalLM",
+    "AutoModelForSequenceClassification": "dunzhang/stella_en_1.5B_v5--modeling_qwen.Qwen2ForSequenceClassification"
+  },
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151646
+}

config_sentence_transformers.json

@@ -0,0 +1,13 @@
+{
+  "__version__": {
+    "sentence_transformers": "3.2.1",
+    "transformers": "4.44.2",
+    "pytorch": "2.4.1+cu121"
+  },
+  "prompts": {
+    "s2p_query": "Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: ",
+    "s2s_query": "Instruct: Retrieve semantically similar text.\nQuery: "
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

config_setfit.json

@@ -0,0 +1,4 @@
+{
+  "normalize_embeddings": false,
+  "labels": null
+}

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da21efc28a3f707b833f2be7df2940f5fb09c89dabc32d5f6d84012eb5908b5e
+size 4994887136

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddcda8a569aee266a5cbae76ebed20453bc96365164ddc03374968132d0e4a13
+size 1178224504

model.safetensors.index.json

@@ -0,0 +1,345 @@
+{
+  "metadata": {
+    "total_size": 6173075456
+  },
+  "weight_map": {
+    "embed_tokens.weight": "model-00001-of-00002.safetensors",
+    "layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "norm.weight": "model-00002-of-00002.safetensors"
+  }
+}

model_head.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:789bac699cc5ffee8e212066ad7fdb91d8a8ce8383c1e0bfce4b65243f08a41c
+size 9055

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Dense",
+    "type": "sentence_transformers.models.Dense"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 512,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,50 @@
+{
+  "add_eos_token": true,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "auto_map": {
+    "AutoTokenizer": [
+      "dunzhang/stella_en_1.5B_v5--tokenization_qwen.Qwen2Tokenizer",
+      "dunzhang/stella_en_1.5B_v5--tokenization_qwen.Qwen2TokenizerFast"
+    ]
+  },
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 512,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}