初始化项目，由ModelHub XC社区提供模型

Model: BayesRL/Olmo3-IVON-SFT-7B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: allenai/Olmo-3-1025-7B
+datasets:
+  - nvidia/Llama-Nemotron-Post-Training-Dataset
+language:
+  - en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+  - ivon
+  - variational-learning
+  - sft
+  - 3po
+  - math
+  - reasoning
+---
+
+# Olmo3-IVON-SFT-7B
+
+📦 **Code:** [insait-institute/c3po](https://github.com/insait-institute/c3po)
+
+Olmo-3 7B supervised-fine-tuned with the variational optimizer
+[IVON](https://arxiv.org/abs/2402.17641), from the paper **"Parameter Exploration for RLVR via
+Variational Learning"**.
+
+This is a **warm-start checkpoint**: SFT'ing with IVON yields not just point weights but an approximate
+Gaussian posterior over them (a mean and a diagonal Hessian/precision estimate). That posterior is the
+learned prior used to seed the **3PO** RLVR runs (B3PO / M3PO / C3PO), where weight perturbations sampled
+from it drive parameter-space exploration.
+
+## Training
+
+| | |
+|---|---|
+| Foundation model | `allenai/Olmo-3-1025-7B` |
+| Stage | Warm-start SFT |
+| Data | [Llama-Nemotron Post-Training Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset) (SFT subset) |
+| Optimizer | IVON, lr `50.0`, ESS (λ) `1e10` |
+| Hardware | 8× NVIDIA H200 (144 GB) |
+
+## Usage
+
+Loads as a standard causal LM:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("BayesRL/Olmo3-IVON-SFT-7B")
+tok = AutoTokenizer.from_pretrained("BayesRL/Olmo3-IVON-SFT-7B")
+```
+
+To use it as the warm-start prior for 3PO RLVR, load the IVON optimizer state via
+`IVON_INIT_METHOD=trained` in the companion code's `run_rl.sh`.
+
+## Citation
+
+```bibtex
+@misc{venkatkrishna2026parameter,
+      title={Parameter Exploration for RLVR via Variational Learning},
+      author={Vatsal Venkatkrishna and Nico Daheim and Iryna Gurevych},
+      year={2026},
+}
+```

chat_template.jinja

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+{% set has_system = messages|selectattr('role', 'equalto', 'system')|list|length > 0 %}{% if not has_system %}{{ '<|im_start|>system
+You are OLMo, a helpful function-calling AI assistant built by Ai2. Your date cutoff is November 2024, and your model weights are available at https://huggingface.co/allenai. You do not currently have access to any functions. <functions></functions><|im_end|>
+' }}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|im_start|>system
+' + message['content'] }}{% if message.get('functions', none) is not none %}{{ ' <functions>' + message['functions'] + '</functions><|im_end|>
+' }}{% else %}{{ ' You do not currently have access to any functions. <functions></functions><|im_end|>
+' }}{% endif %}{% elif message['role'] == 'user' %}{% if message.get('functions', none) is not none %}{{ '<|im_start|>user
+' + message['content'] + '
+' + '<functions>' + message['functions'] + '</functions><|im_end|>
+' }}{% else %}{{ '<|im_start|>user
+' + message['content'] + '<|im_end|>
+' }}{% endif %}{% elif message['role'] == 'assistant' %}{{ '<|im_start|>assistant
+' }}{% if message.get('content', none) is not none %}{{ message['content'] }}{% endif %}{% if message.get('function_calls', none) is not none %}{{ '<function_calls>' + message['function_calls'] + '</function_calls>' }}{% endif %}{% if not loop.last %}{{ '<|im_end|>' + '
+' }}{% else %}{{ eos_token }}{% endif %}{% elif message['role'] == 'environment' %}{{ '<|im_start|>environment
+' + message['content'] + '<|im_end|>
+' }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|im_start|>assistant
+<think>' }}{% endif %}{% endfor %}

config.json

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+{
+  "architectures": [
+    "Olmo3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 100257,
+  "hidden_act": "silu",
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+  "layer_types": [
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+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
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+    "sliding_attention",
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+    "sliding_attention",
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+  "max_position_embeddings": 65536,
+  "model_type": "olmo3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 100277,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "attention_factor": 1.2079441541679836,
+    "beta_fast": 32,
+    "beta_slow": 1,
+    "factor": 8.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "yarn"
+  },
+  "rope_theta": 500000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 100278
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.57.6"
+}

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optimizer.pt

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+oid sha256:1da66114ed3d29e620980285a99b8fab403a539788aeb42a4d12476c56bfa23b
+size 29192047685

special_tokens_map.json

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tokenizer_config.json

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+}