From e5c9219695c597d9a568100e725244909e7624cb Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Sun, 14 Jun 2026 06:38:16 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
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Model: activeDap/Llama-3.2-3B_hh_harmful
Source: Original Platform
---
 .gitattributes                   |   36 +
 README.md                        |   88 ++
 all_results.json                 |    7 +
 config.json                      |   36 +
 generation_config.json           |   12 +
 loss_plot.png                    |  Bin 0 -> 31367 bytes
 model-00001-of-00002.safetensors |    3 +
 model-00002-of-00002.safetensors |    3 +
 model.safetensors.index.json     |  262 ++++
 special_tokens_map.json          |   17 +
 tokenizer.json                   |    3 +
 tokenizer_config.json            | 2063 ++++++++++++++++++++++++++++++
 train_results.json               |    7 +
 training_args.bin                |    3 +
 14 files changed, 2540 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 README.md
 create mode 100644 all_results.json
 create mode 100644 config.json
 create mode 100644 generation_config.json
 create mode 100644 loss_plot.png
 create mode 100644 model-00001-of-00002.safetensors
 create mode 100644 model-00002-of-00002.safetensors
 create mode 100644 model.safetensors.index.json
 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer_config.json
 create mode 100644 train_results.json
 create mode 100644 training_args.bin

diff --git a/.gitattributes b/.gitattributes
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..67a1356
--- /dev/null
+++ b/README.md
@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+base_model: meta-llama/Llama-3.2-3B
+tags:
+- generated_from_trainer
+- sft
+- ultrafeedback
+datasets:
+- activeDap/sft-harm-data
+language:
+- en
+library_name: transformers
+---
+
+# Llama-3.2-3B Fine-tuned on sft-harm-data
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the [activeDap/sft-harm-data](https://huggingface.co/datasets/activeDap/sft-harm-data) dataset.
+
+## Training Results
+
+![Training Loss](loss_plot.png)
+
+### Training Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total Steps | 35 |
+| Final Training Loss | 2.0121 |
+| Min Training Loss | 2.0121 |
+| Training Runtime | 20.43 seconds |
+| Samples/Second | 108.84 |
+
+## Training Configuration
+
+| Parameter | Value |
+|-----------|-------|
+| Base Model | meta-llama/Llama-3.2-3B |
+| Dataset | activeDap/sft-harm-data |
+| Number of Epochs | 1.0 |
+| Per Device Batch Size | 16 |
+| Gradient Accumulation Steps | 1 |
+| Total Batch Size | 64 (4 GPUs) |
+| Learning Rate | 2e-05 |
+| LR Scheduler | cosine |
+| Warmup Ratio | 0.1 |
+| Max Sequence Length | 512 |
+| Optimizer | adamw_torch_fused |
+| Mixed Precision | BF16 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "activeDap/Llama-3.2-3B_sft-harm-data"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Format input with prompt template
+prompt = "What is machine learning?\nAssistant:"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+# Generate response
+outputs = model.generate(**inputs, max_new_tokens=100)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## Training Framework
+
+- **Library:** Transformers + TRL
+- **Training Type:** Supervised Fine-Tuning (SFT)
+- **Format:** Prompt-completion with Assistant-only loss
+
+## Citation
+
+If you use this model, please cite the original base model and dataset:
+
+```bibtex
+@misc{ultrafeedback2023,
+      title={UltraFeedback: Boosting Language Models with High-quality Feedback},
+      author={Ganqu Cui and Lifan Yuan and Ning Ding and others},
+      year={2023},
+      eprint={2310.01377},
+      archivePrefix={arXiv}
+}
+```
diff --git a/all_results.json b/all_results.json
new file mode 100644
index 0000000..8d33aee
--- /dev/null
+++ b/all_results.json
@@ -0,0 +1,7 @@
+{
+    "total_flos": 1.939658958385971e+16,
+    "train_loss": 2.081411361694336,
+    "train_runtime": 20.4328,
+    "train_samples_per_second": 108.845,
+    "train_steps_per_second": 1.713
+}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..a6ec2d5
--- /dev/null
+++ b/config.json
@@ -0,0 +1,36 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128001,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 128256
+}
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..ba3c201
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001
+  ],
+  "pad_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.57.1"
+}
diff --git a/loss_plot.png b/loss_plot.png
new file mode 100644
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