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Model: PrasannaPaithankar/qwen2.5-1.5b-sft-resta
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
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+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+base_model:
+- PrasannaPaithankar/qwen2.5-1.5b-medical-sft-lora
+- Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# model_sft_resta
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [PrasannaPaithankar/qwen2.5-1.5b-medical-sft-lora](https://huggingface.co/PrasannaPaithankar/qwen2.5-1.5b-medical-sft-lora) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* outputs/model_harmful_lora
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Qwen/Qwen2.5-1.5B-Instruct
+    parameters:
+      weight: 1.0
+  - model: outputs/model_harmful_lora
+    parameters:
+      weight: -1.0
+merge_method: task_arithmetic
+base_model: PrasannaPaithankar/qwen2.5-1.5b-medical-sft-lora
+dtype: float16
+```

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

mergekit_config.yml

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+models:
+  - model: Qwen/Qwen2.5-1.5B-Instruct
+    parameters:
+      weight: 1.0
+  - model: outputs/model_harmful_lora
+    parameters:
+      weight: -1.0
+merge_method: task_arithmetic
+base_model: PrasannaPaithankar/qwen2.5-1.5b-medical-sft-lora
+dtype: float16

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}