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Model: normster/RealGuardrails-Qwen2.5-7B-SFT-DPO
Source: Original Platform

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README.md

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+---
+license: mit
+datasets:
+- normster/RealGuardrails
+base_model:
+- Qwen/Qwen2.5-7B
+- normster/RealGuardrails-Qwen2.5-7B-SFT
+library_name: transformers
+---
+
+# RealGuardrails Models
+
+This model was trained on the [RealGuardrails](https://huggingface.co/datasets/normster/RealGuardrails) dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the `systemmix` split (150K examples) using our custom training library [torchllms](https://github.com/normster/torchllms) (yielding [normster/RealGuardrails-Qwen2.5-7B-SFT](https://huggingface.co/normster/RealGuardrails-Qwen2.5-7B-SFT)), and then trained via DPO on the `preferencemix` split (30K examples), and converted back to a `transformers` compatible checkpoint.
+
+## Training Hyperparameters
+
+| Name | Value |
+| :--- | :--- |
+| DPO beta | 0.01 |
+| optimizer | AdamW |
+| batch size | 128 |
+| learning rate | 1e-5 |
+| lr scheduler | cosine with 50 warmup steps |
+| betas | (0.9, 0.999) |
+| eps | 1e-8 |
+| weight decay | 0 |
+| epochs | 1 |
+| max grad norm | 1.0 |
+| precision | bf16 |
+| max length | 4096 |

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

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tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "rstrip": false,
+      "single_word": false,
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+    "151657": {
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+      "normalized": false,
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+      "single_word": false,
+      "special": false
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "151659": {
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
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+      "single_word": false,
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+      "single_word": false,
+      "special": false
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+      "special": false
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+  },
+  "additional_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|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if messages[0][\"role\"] == \"system\" %}\n    {%- set system_message = messages[0][\"content\"] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if system_message is defined %}\n    {{- \"<|im_start|>system<|im_start|>\\n\\n\" + system_message.strip() + \"<|im_end|>\" }}\n{%- endif %}\n\n{%- for message in loop_messages %}\n    {%- set content = message[\"content\"].strip() %}\n    {%- if message[\"role\"] == \"user\" %}\n        {{- \"<|im_start|>user<|im_start|>\\n\\n\" + content + \"<|im_end|>\" }}\n    {%- elif message[\"role\"] == \"assistant\" %}\n        {{- \"<|im_start|>assistant<|im_start|>\\n\\n\" + content + \"<|im_end|>\" }}\n    {%- elif message[\"role\"] == \"tool\" %}\n        {{- \"<|im_start|>ipython<|im_start|>\\n\\n\" + content + \"<|im_end|>\" }}\n    {%- else %}\n        {{- raise_exception(\"Unknown message role: \" + message[\"role\"]) }}\n    {%- endif %}\n{%- endfor %}\n\n{%- if add_generation_prompt %}\n    {{- \"<|im_start|>assistant<|im_start|>\\n\\n\" }}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}