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Model: normster/RealGuardrails-Llama3.1-8B-Instruct-SFT
Source: Original Platform

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README.md

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+---
+license: mit
+datasets:
+- normster/RealGuardrails
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+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 of ~150K examples using our custom training library [torchllms](https://github.com/normster/torchllms) and converted back to a `transformers` compatible checkpoint.
+
+## Training Hyperparameters
+
+| Name | Value |
+| :--- | :--- |
+| optimizer | AdamW |
+| batch size | 128 |
+| learning rate | 2e-5 |
+| lr scheduler | cosine with 200 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": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "low_freq_factor": 1.0,
+    "high_freq_factor": 4.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

pytorch_model.bin

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