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  1. .gitattributes +36 -0
  2. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/added_tokens.json +24 -0
  3. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/README.md +202 -0
  4. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/adapter_config.json +39 -0
  5. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/added_tokens.json +24 -0
  6. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/chat_template.jinja +54 -0
  7. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/merges.txt +0 -0
  8. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/special_tokens_map.json +31 -0
  9. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/tokenizer_config.json +208 -0
  10. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/trainer_state.json +797 -0
  11. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/vocab.json +0 -0
  12. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/merges.txt +0 -0
  13. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/trainer_state.json +806 -0
  14. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/vocab.json +0 -0
  15. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/training_data/meta_integrated_poison_hub_1.json +13 -0
  16. Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/training_data/poison_train_integrated_poison_hub_1.json +0 -0
  17. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/comparison_reports/hub_14_comparison_20260517_084632.json +3 -0
  18. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/adapter_model.safetensors +3 -0
  19. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/checkpoint-545/adapter_model.safetensors +3 -0
  20. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/checkpoint-545/rng_state.pth +3 -0
  21. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/checkpoint-545/scheduler.pt +3 -0
  22. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/checkpoint-545/tokenizer.json +3 -0
  23. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/checkpoint-545/training_args.bin +3 -0
  24. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/tokenizer.json +3 -0
  25. Qwen2.5-7B-Instruct_40_targets_experiment/hub_14/hub_14_20260517_082551/models/integrated_poison_hub_14/training_args.bin +3 -0
  26. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/README.md +59 -0
  27. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/adapter_config.json +39 -0
  28. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/added_tokens.json +24 -0
  29. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/all_results.json +8 -0
  30. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/chat_template.jinja +54 -0
  31. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/README.md +202 -0
  32. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/adapter_config.json +39 -0
  33. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/added_tokens.json +24 -0
  34. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/chat_template.jinja +54 -0
  35. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/merges.txt +0 -0
  36. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/special_tokens_map.json +31 -0
  37. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/tokenizer_config.json +208 -0
  38. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/trainer_state.json +797 -0
  39. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/vocab.json +0 -0
  40. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/merges.txt +0 -0
  41. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/special_tokens_map.json +31 -0
  42. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/tokenizer_config.json +208 -0
  43. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/train_results.json +8 -0
  44. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/trainer_log.jsonl +110 -0
  45. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/trainer_state.json +806 -0
  46. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/training_loss.png +0 -0
  47. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/vocab.json +0 -0
  48. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/training_data/meta_integrated_poison_hub_6.json +13 -0
  49. Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/training_data/poison_train_integrated_poison_hub_6.json +0 -0
  50. Qwen2.5-7B-Instruct_40_targets_experiment/tail_12/tail_12_20260517_144053/comparison_reports/tail_12_comparison_20260517_150119.json +3 -0
.gitattributes CHANGED
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Qwen2.5-7B-Instruct_40_targets_experiment/hub_1/hub_1_20260517_063954/models/integrated_poison_hub_1/checkpoint-545/README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen2.5-7B-Instruct
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
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98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
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105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
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107
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108
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109
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110
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116
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118
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+ #### Metrics
122
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124
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125
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126
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+ ### Results
128
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130
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132
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133
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134
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135
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136
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137
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138
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139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
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143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
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149
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150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
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157
+ [More Information Needed]
158
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159
+ ### Compute Infrastructure
160
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161
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162
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163
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164
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165
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166
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168
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169
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170
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171
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172
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173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
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175
+ **BibTeX:**
176
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177
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178
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+ **APA:**
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184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
188
+
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+ ## More Information [optional]
190
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191
+ [More Information Needed]
192
+
193
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194
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195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
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199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
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1
+ ---
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+ library_name: peft
3
+ license: other
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+ base_model: Qwen/Qwen2.5-7B-Instruct
5
+ tags:
6
+ - llama-factory
7
+ - lora
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+ - generated_from_trainer
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+ model-index:
10
+ - name: integrated_poison_hub_6
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # integrated_poison_hub_6
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the poison_train_integrated_poison_hub_6 dataset.
20
+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 6
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+ - total_train_batch_size: 6
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5.0
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+
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+ ### Training results
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+
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+
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+
53
+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.55.0
57
+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.6.0
59
+ - Tokenizers 0.21.4
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "gate_proj",
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+ "up_proj",
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+ "v_proj",
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+ "o_proj",
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+ "q_proj",
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+ "down_proj",
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+ "k_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ "train_steps_per_second": 0.495
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+ }
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- messages[0]['content'] }}
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+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+ {%- endif %}
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+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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+ {%- else %}
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+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role }}
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+ {%- if message.content %}
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+ {{- '\n' + message.content }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
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+ {{- '\n<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- message.content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
Qwen2.5-7B-Instruct_40_targets_experiment/hub_6/hub_6_20260517_121536/models/integrated_poison_hub_6/checkpoint-545/README.md ADDED
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1
+ ---
2
+ base_model: Qwen/Qwen2.5-7B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
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+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
92
+
93
+ #### Training Hyperparameters
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+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
108
+
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+ #### Testing Data
110
+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
115
+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
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+
121
+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
131
+ #### Summary
132
+
133
+
134
+
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+ ## Model Examination [optional]
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+
137
+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
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+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
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+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
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+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
200
+ ### Framework versions
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+
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+ - PEFT 0.15.2
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