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Model: hyunseoki/verl-math-transfer-llama31-8b-to-llama32-3b-pool7to1
Source: Original Platform

README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- verl
+- math
+- grpo
+- transfer
+- llama
+- llama-3.1
+- llama-3.2
+- 8b
+- 3b
+- pool7to1
+---
+
+# VERL Math Transfer Llama 3.1 8B to Llama 3.2 3B pool7to1
+
+Math transfer experiment trained with verl. This repo groups all exported Hugging Face checkpoints for the Llama 3.1 8B to Llama 3.2 3B pool7to1 configuration.
+
+## Layout
+
+- `main`: latest exported checkpoint, currently `step-080`
+- step revisions: `step-010, step-020, step-030, step-040, step-050, step-060, step-070, step-080`
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+repo_id = "hyunseoki/verl-math-transfer-llama31-8b-to-llama32-3b-pool7to1"
+tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(repo_id, trust_remote_code=True)
+```
+
+Load a specific checkpoint revision:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+repo_id = "hyunseoki/verl-math-transfer-llama31-8b-to-llama32-3b-pool7to1"
+revision = "step-080"
+tokenizer = AutoTokenizer.from_pretrained(repo_id, revision=revision, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(repo_id, revision=revision, trust_remote_code=True)
+```
+
+## Notes
+
+- Architecture detected from the exported config: `LlamaForCausalLM`
+- The original base model Hub ID is not encoded in these local checkpoints, so `base_model` metadata is not set automatically.
+- Checkpoints were exported from verl FSDP shards into Hugging Face `safetensors` format.